Pick the leak you want to stop first.
These are not plug-and-play feature add-ons. Each workflow is installed with discovery, rules, dashboard thinking, integration, training, and a monthly improvement rhythm when the business is ready for it.
The automation is not the offer. The installed business outcome is the offer.
Start with the pain: missed leads, quality drift, blind reporting, slow hiring, forgotten buyers, weak webinar follow-up, wasted ad spend, or content that only moves when someone pushes. If the leak is serious enough, an AI Solution Expert joins discovery and scopes the first workflow to install.
Real AI implementation works in this order.
First, make sure the business process can produce the result. Then automate the parts that should happen reliably. Then make sure the team adopts it, uses it, and knows how to improve it.
1. Make the process work
We map the SOP, criteria, owners, edge cases, approvals, dashboard needs, and the exact moments where the current process leaks.
2. Automate the repeatable parts
We connect the tools and build the workflow: replies, routing, scoring, reminders, reporting, dashboard actions, or rule-based handoffs.
3. Make sure the team adopts it
We train operators, hand over the rules, review exceptions, and use AIS time for refinements, meetings, rule changes, and ongoing tuning.
From a WhatsApp "hi" to a booked slot. No front desk.
Lead sends a message. AI asks a few questions. AI picks the right branch. AI checks the live calendar. AI shows 3 open slots. Customer picks one. AI books it. Branch staff get a ping. Reminders fire on their own. Done.
We don't make you switch to one calendar or one booking tool. We read from and write to anything with an open API. No migration.
- Aesthetics chains and clinic groups
- Fitness studios and salons
- Anyone running 3+ shops
- Single shops with many staff
- Anyone running ads to one HQ WhatsApp
- "Please fill in this form" friction
- "Wait until tomorrow" replies
- "Sorry, that slot is gone" moments
- Migration to yet another booking tool
- Saturday morning leads who bought elsewhere
- You have multiple calendars, branches, staff schedules, service types, or routing rules
- Paid leads are leaking because reply speed, reminders, or no-show recovery are inconsistent
- You need booking visibility by branch, not another form or shared calendar
A booking control room, not another booking form.
The build turns your messy branch, staff, service, calendar, and reminder logic into one booking workflow your team can see and adjust.
- Edit service questions, branch routing, and staff assignment rules
- Change reminder timing, reschedule wording, and no-show recovery scripts
- See drop-off from first message to booked slot to showed-up appointment
- Review branch exceptions without asking HQ to dig through WhatsApp
- Add new branches, staff, services, or booking rules
- Tune slot logic after seeing no-show and reschedule patterns
- Fix calendar or API changes when your tools update
- Improve scripts based on objections and abandoned booking data
Open slots. Customers waiting. Lost money.
One HQ front desk handles 80 messages a day for 16 shops. 8 to 15 minutes per message. That is 6 to 12 hours of work daily. One sick day and the whole funnel breaks.
Customer waits 2 hours on a Saturday morning. Half book with the next shop. The other half book a slot but forget to show up. Show-up rate is 50 to 70%. Slot use is 60 to 70%.
One lead. One WhatsApp. Zero human touch.
Lead lands
QR code, ad, or storefront. AI greets. Asks concern and area.
Right branch
AI picks the right shop by concern and postcode. No guesswork.
Live slots
AI reads your booking system and calendar in real time. Offers 3 open slots in chat.
Book and ping
AI writes to the source system. Branch staff get a push notification in the ABC app.
Reminders and handoff
Branch's own WhatsApp takes over. T-24h, T-2h, on-the-day. Outcome logs to AI Manager.
Built for the mess you already have. Most booking tools want one calendar, one staff list, one shop. Real life is messy. Four booking systems, three shops, a branch manager who refuses to migrate. This reads from and writes back to anything with an open API. No migration required.
Every call gets a score. Every rep gets a coach.
AI listens to your team's calls. Grades them against your rule book. Writes a coaching note for the rep. Lists every promise the rep made to the client. Nothing slips. The rules are yours, not ours.
A senior manager doing this by hand takes 90 minutes per call. A 10-rep team does 30 calls a day. No one has the time. So most teams audit 1 in 20 calls and miss the rest. The AI does all 30. Every day.
- Sales, onboarding, customer success teams
- Multi-branch clinics, gyms, salons
- Coaches and consultants with helpers
- Anyone with a written SOP that no one reads
- Founders who can't sit on every call
- A score for each call, section by section
- A coaching note in your tone, not robot talk
- Every promise the rep made, in a list
- Weekly trend by rep, by branch
- Your rule book, applied to every call
- You have calls, chats, tickets, or transcripts that can be reviewed
- There is a sales, service, onboarding, or branch SOP people are meant to follow
- Managers are sampling manually and still discovering quality problems too late
A live SOP auditor your managers can update when the business changes.
We turn your SOP into a scoring rubric, dashboard, coaching system, promise tracker, and change-management loop so quality improvement does not depend on one senior person remembering every detail.
- Edit SOP criteria, scoring weights, pass marks, examples, and red flags
- Visualise where leads or customers drop off inside the SOP
- Compare leakage by rep, branch, campaign, product, or SOP step
- Approve a revised SOP and generate a team memo when rules change
- Add new SOP sections when your offer, script, or compliance need changes
- Calibrate AI scoring with managers so the rubric stays fair
- Build new dashboard views when owners want sharper visibility
- Investigate quality drops and turn them into script or training fixes
Bad calls turn into bad reviews. Then refunds. Then lost clients.
A senior manager who listens to one call and writes a real review takes 90 minutes. A team of 10 reps doing 3 calls a day means 45 manager-hours every day. Nobody has that. Most teams audit 1 in 20 calls and miss the other 19.
Calls slowly get worse. An onboarding that misses one step does not fail today. It churns a client in 60 days, with a refund and a one-star review. By the time you see the pattern, ten of them have already gone.
Score. Coach. List promises. Every call. Automatic.
Take the call in
Recording or transcript. Zoom, WhatsApp, in-app voice, uploaded audio. AI takes it all.
Score vs your rules
AI grades against your SOP. Section by section. Plus a final score for the whole call.
Write the coach note
What was strong. What was missed. The one fix that helps the next call most. In your tone.
Pull the promises
Every promise the rep made gets pulled to a follow-up list. Founder sees the weekly trend.
Your rules, not ours. Our rules grade on Discovery, Build, Bridge. Yours might be Greeting, Pitch, Close. Or Diagnose, Treat, Follow up. Or anything you want. The AI reads your rule book and uses it. The coach note speaks in your voice.
All your tools talk to one brain. The brain talks to your team chat.
Your data sits in a POS, a CRM, an accounting tool, a Google Sheet, an ERP. We wire all of them into the team chat you already use, whichever one that is. AI reads it all every 5 to 30 minutes. Posts what you need to see. Answers when you ask.
Only what you need to act on, when you need to act on it. Insight, not noise.
- Multi-shop F&B, retail, fitness
- Clinics with 3+ branches
- Founders with data in 4+ tools
- Anyone tired of "I'll ask someone to pull that"
- Operators thinking of hiring a part-time COO
- Daily closing summary (at close)
- Weekly Monday briefing (9am)
- Real-time alert when something's off
- Plain-language Q&A any time
- Demand forecast and top objections
- Your data lives across POS, CRM, payment tools, sheets, calendars, or team chat
- Reporting is manual, late, or dependent on one analyst or admin
- The owner wants alerts and decision prompts before month-end
An owner dashboard and alert rhythm built around the decisions you actually make.
We map your KPIs, connect the messy data sources, build the alert rules, and create the daily or weekly management rhythm so the owner sees the leak before month-end.
- Choose metrics by branch, product, channel, team, or time period
- Edit alert thresholds, recipients, and escalation rules
- See exception history instead of relying on scattered screenshots
- Change the meeting rhythm and what gets reported weekly or monthly
- Add new data sources, branches, KPIs, or management reports
- Tune noisy alerts so the system stays useful instead of becoming spam
- Build new dashboard views when the owner asks sharper questions
- Troubleshoot mismatched source data when tools disagree
By the time you see the number, it's too late to fix it.
An ops person spends 60 to 90 minutes a day pulling POS data into a sheet. That is 5 to 7 hours a week. A junior analyst is $4 to 8K a month and still makes a static report nobody reads. A part-time COO is $10 to 25K a month for the same scope.
You guess. A slow afternoon at one shop happens. Nobody notices until end of month. Voids, stock-outs, staff problems hide. Demand forecast becomes a guess. You expand to the wrong city. "How is the business doing?" gets answered when the monthly P&L lands. By then three problems have piled up.
Insight. Not noise. Posted to the chat you already use.
Real-time alerts
Sales drop, low stock, weird voids, the second it happens.
Daily closing summary
Sales, transactions, top items, payments. At close.
Weekly Monday briefing
What changed, what broke, what to fix.
On-demand Q&A
"Compare all 3 shops this month." Instant.
Industry smarts
Demand forecast, top objections, capacity vs demand, shaped to your business.
Built for the mess you already have. No migration. We read from and write to anything with an open API.
Research. Design. Post. All on autopilot.
AI researches what your audience cares about this week. Picks ideas that match your brand. Designs infographics, carousels, and quote cards from your templates. Writes the caption in your tone. Schedules and posts across your pages. You approve or let it run.
Most businesses know they should post 3 to 5 times a week. Nobody has the time. The content engine does the thinking, the designing, and the posting. You just show up with an opinion when you want to.
- Brands posting less than 3 times a week
- Founders with no in-house designer
- Agencies managing 10+ client pages
- Anyone paying RM 3K+ for a social media person
- Coaches and consultants who want thought leadership without the hours
- 5 to 7 ready-to-post pieces per week
- Infographics and carousels in your brand style
- Captions in your tone with relevant hashtags
- Scheduled posts across all platforms
- Weekly content calendar auto-generated
- Content depends on one talented person, scattered chats, or last-minute willpower
- You have brand rules, approval steps, recurring campaigns, or several channels
- Paid-media cost is rising because organic cadence and warm-audience building are inconsistent
A content operating system that removes the blank-page bottleneck.
We build the topic engine, brand templates, approval flow, publishing cadence, and performance feedback loop so content no longer depends on one person forcing momentum every week.
- Adjust tone, content pillars, offers, languages, and approval rules
- Approve, reject, edit, or hold posts before publishing
- See where content is stuck: idea, design, copy, approval, or posting
- Update brand examples so the system learns what still feels like you
- Add new campaigns, offers, products, or content formats
- Refresh brand templates when your look or positioning changes
- Tune hooks and topics based on comments, leads, and sales objections
- Fix publishing, approval, or platform changes that slow the team down
The brands that post win the algorithm. The ones that don't, pay more for ads.
A social media person costs RM 3,000 to 6,000 a month. A designer adds RM 2,000 to 4,000. Together that is RM 5,000 to 10,000 for 12 to 20 posts. Most of their time goes to staring at a blank screen, not designing.
Algorithm forgets you. Organic reach drops to near zero. You rely 100% on paid ads. Cost per lead climbs 2 to 3× over 6 months. Competitors who post regularly take your audience's attention for free.
From blank page to posted and scheduled. No human bottleneck.
Research
AI scans your niche. Trending topics, competitor posts, industry news, seasonal hooks. Picks what fits your brand this week.
Plan
Generates a weekly calendar. 5 to 7 posts. Mix of formats: infographic, carousel, quote card, short text. Balances education, social proof, CTA.
Design
Auto-generates infographics, carousels, and visuals from your brand templates. Your colours, your fonts, your style. Not generic stock.
Write
Captions in your brand voice. Hashtags that fit. CTA when it makes sense. Multi-language if your audience needs it.
Post
Scheduled to the best time. Auto-posts to Facebook, Instagram, LinkedIn. You approve first, or let it run hands-free.
You still own the voice. The AI learns your tone from past posts and brand guidelines. You can override any piece. Most clients approve 80% as-is and tweak 20%. Total time: 15 minutes a week instead of 15 hours.
Scale winners. Kill losers. Upload fresh creative. Assign the next shoot.
AI watches your Facebook Ads 24/7. When a creative is winning, it scales the budget. When one is dying, it trims. When creative fatigue hits, it uploads new assets and assigns your team the next video shoot. No media buyer staring at a screen all day.
Most businesses check ads once a day. By then the algorithm has already wasted money on a dead ad for 12 hours. The AI checks every 30 minutes and acts on rules you set.
- Brands spending RM 10K+ a month on Meta ads
- Teams without a full-time media buyer
- Agencies managing multiple ad accounts
- Anyone losing money overnight on dead creatives
- Founders who check ads once a day and panic
- Budget moves to winners within 30 minutes, not 12 hours
- Dead ads get cut before they eat the day's spend
- Fresh creative uploaded the moment fatigue is detected
- Team gets assigned video shoots before you run out of assets
- Winning ad sets auto-duplicated with variations
- Ad spend is high enough that late action costs real money
- Creative fatigue, slow approval, or late scaling is a repeated issue
- You want guardrails, action logs, alerts, and next-shoot tasks without giving AI unrestricted budget control
An ad control system with guardrails, logs, and creative momentum.
We install the rules, dashboards, approval paths, creative-fatigue triggers, and team task loop so ad performance does not depend on a media buyer checking the account at the perfect moment.
- Set CPA ceilings, ROAS floors, daily budget caps, and escalation thresholds
- Choose which actions can run automatically and which need approval
- Review every budget, pause, duplicate, upload, or alert action in one log
- Change creative-fatigue rules when your market or offer changes
- Tune rules after campaign learning, new offers, or margin changes
- Add new accounts, campaigns, creative types, or approval owners
- Investigate CPA spikes and turn them into creative or landing-page fixes
- Keep automations working when Meta, tracking, or naming conventions change
Every hour a bad ad runs, you're burning cash.
A media buyer costs RM 4,000 to 8,000 a month. They check twice a day. Between checks, losing ads eat RM 200 to 500 per incident. Creative fatigue goes unnoticed for days. By the time someone makes a new video, cost per lead has doubled.
Winning ads never get scaled fast enough. Budget stays flat on a creative doing 5× ROAS while dying ads drain the account. You run out of fresh creative. CPA climbs 40 to 60% in a month. You blame "the algorithm" instead of your speed.
Rules you set. AI executes. Every 30 minutes.
Monitor
AI reads your Meta Ads account every 30 minutes. CPA, ROAS, CTR, frequency, spend per creative. Compares against your rules.
Scale winners
ROAS above target? Budget increases automatically. Winning ad sets get duplicated with fresh audience or angle variations.
Trim losers
CPA above limit or ROAS below floor? Budget cut or ad paused. No more burning money while you sleep.
Upload creative
Creative fatigue detected (frequency too high, CTR dropping)? AI uploads fresh assets from your library to the ad set automatically.
Assign shoots
Creative library running low? AI assigns team members to shoot the next batch. Brief, angle, and deadline sent to their chat automatically.
Your rules, your guardrails. You set the ROAS floor, CPA ceiling, max daily budget, and creative fatigue threshold. AI stays inside your rules. It never spends more than you allow. Big changes still get flagged to you first. Small moves happen on their own, because that is where the waste lives.
From "how much?" to "shipped" to "buy again". All on WhatsApp.
AI handles the buyer from start to finish. Asks what they need. Picks the right pack. Takes payment. Checks the screenshot. Pushes the order to Shopify. Sends back the tracking. Nudges them to reorder on day 25. Wakes up old leads. The customer never leaves WhatsApp.
The day-25 reorder nudge is the closest thing to a free money printer in this stack.
- Supplement and skincare brands
- Food, pet food, anything consumable
- 30, 60, 90 day buy-again cycles
- WhatsApp + Shopify direct-to-customer shops
- Anyone shipping 100+ orders a month
- Carts left full and never recovered
- Old customers who forget to reorder
- Cold leads quiet at 14, 30, 90 days
- Hours of typing orders into Shopify
- Payment screenshot back-and-forth
- You have meaningful order volume, repeat purchase, abandoned carts, or old-lead recovery potential
- Staff manually check payments, type orders, answer tracking questions, or remember reorder timing
- Offer rules, fulfilment exceptions, and recovery flows need one visible operating loop
A lifecycle dashboard from first question to reorder.
We turn product rules, payment checks, order creation, fulfilment updates, reorder timing, and recovery flows into one buyer loop your team can monitor and adjust.
- Update bundles, pricing logic, reorder windows, recovery copy, and language
- See drop-off from question to payment to shipped to bought again
- Segment buyers by product, last order, reorder timing, objection, or source
- Turn campaigns on or off without rebuilding the entire flow
- Add new products, bundles, promotions, or fulfilment rules
- Adjust reorder timing after seeing real repeat-purchase behaviour
- Fix ERP, logistics, payment, or Shopify changes that break the loop
- Recover failed flows and improve scripts from buyer objections
If you don't ask, they won't buy again.
200 orders a month. 10 to 15 minutes per order to type into your system, chase the tracking, send it back. That is 30 to 50 hours of dull work. Staff hate it. Staff quit.
20 to 30% of past buyers never get a follow-up nudge. Carts stay full. Old leads die quiet. New customers cost 5 times more to find than keeping old ones.
Inquiry. Sale. Ship. Reorder. Wake up old. One loop.
Recommend
Symptom-based pick. Pack selection. Take payment. Check the screenshot. Done in chat.
Push order
Pull name, address, item, quantity. Push order to Shopify or your ERP. Send tracking in chat.
Day 25 nudge
Personal reorder nudge in their language. Brings back 20 to 30% of past buyers, zero ad spend.
Wake up old
14, 30, 90 day silent customers get a wake-up message. Tagged by why they stopped.
Objection intel
Top 5 weekly objections, with chat snippets. Fed into AI Manager and into ad copy.
Connects to what you sell on. Shopify, WooCommerce, custom dashboards, even a Google Sheet if that is where ops sit today. We have wired this to ERPs, logistics, and payment gateways across supplements, cosmetics, F&B, retail. AI reads structured data, writes structured data, never asks the customer to leave WhatsApp.
Every webinar gives you a hot list and a coach report. By morning.
The system reads who signed up, who showed up, who chatted, who stayed, who left. It ranks every person by how ready to buy they are. It writes a personal follow-up for each one in their own language. The speaker gets coached on what to fix for the next event.
A 540-registrant event makes 200+ leads worth following up. By hand, that's 70 hours of work no one has. The AI does it overnight.
- Coaches and course makers
- Info-product brands
- 2 to 5 day challenge hosts
- Sales teams with monthly webinars
- Anyone making RM 100K+ per event
- A tier list of every attendee, by ready-to-buy
- A personal follow-up for each T1 and T2 lead
- A retention graph showing where people left
- Top objections to fix in the next ad
- A coaching report for the speaker
- Your webinar, challenge, briefing, or event creates enough leads to justify scoring and handoff
- Follow-up is generic, late, or dependent on someone reading attendance and chat data manually
- You need hotlists, personal follow-up, objection reporting, speaker feedback, and next-event recommendations
A webinar command centre for hotlists, follow-up, and next-event improvement.
We connect registration, attendance, chat, replay, CRM, and sales feedback so your team knows exactly who to chase, what to say, and what to improve before the next event.
- Edit scoring criteria, buying signals, segment names, and handoff rules
- Review drop-off by time, slide, topic, offer, and chat activity
- Approve or rewrite follow-up messages before sales sends them
- Compare event performance without manually merging spreadsheets
- Change event formats, offers, challenge days, or follow-up timing
- Tune scoring after sales gives feedback on who actually bought
- Update scripts when objections or audience quality changes
- Connect new webinar, CRM, replay, or messaging tools
Hot leads don't go cold. They go to whoever follows up first.
A 540-registrant event makes 200+ leads worth chasing. 20 to 30 minutes per personal follow-up. That's 70+ hours of work. Nobody has the time. So nobody does it.
Send one boring template to everyone. The hot ones never raise their hand. The pipeline is worth RM 110K an event but it leaks. The next event makes the same mistakes because nobody looked at the last one.
From event end to personal follow-up, by morning.
Take in
Sign-ups, attendance, chat log, replay views, CRM history. All merged per person.
Rank
Auto rank by ready-to-buy. T1 close today. T2 hot 24 to 48h. T3 watched but quiet. Plus cold.
Write personal
A personal WhatsApp message for each T1 and T2 lead. In their language. Mentions what they actually said.
Coach the speaker
Where did people drop off? Which slide killed the chat? What objection got no answer?
Feed back
Top objections become next event's ad copy. The next event gets better.
Optional: the system sends for you. Sender warm-up runs in the background so your numbers stay off Meta's ban list. Your team reviews and approves, or you let it auto-send T1 and T2.
Pick the best people from a big pile of applicants.
You hire the same job again and again. We turn that into a system. AI sorts thousands of applicants. We pay the top ones to do small tasks. We pick the best 6 to interview. You hire from a clean short list.
The test is not one-size-fits-all. We build the right test for each role. A customer service test is not the same as a sales test.
- Customer service teams
- Sales agents and telesales
- Branch staff and shop floor
- Call centers and BPOs
- Drivers, dispatchers, riders
- Anyone with a role you fill again and again
- A job page that talks plain
- An AI chat that sorts the most ready people
- Paid small tasks made for the role
- A short video task graded by AI
- Two short interviews
- A score card with a clear yes or no
- You hire the same role repeatedly or plan to scale a team
- Founders or managers still screen resumes, chase applicants, or interview from memory
- The role needs criteria, scorecards, tasks, shortlist view, and interviewer handover
A hiring funnel where criteria changes update the whole process.
We build the role criteria, screening chat, task design, scoring dashboard, stage drop-off view, and interviewer handover so hiring quality does not depend on a founder remembering what good looks like.
- Change criteria, weights, deal-breakers, task briefs, and pass marks
- See exactly where applicants drop off or fail by source and stage
- Update the funnel when the role changes without rebuilding from scratch
- Compare candidates using one scorecard instead of interview memory
- Add new roles, locations, languages, task types, or interviewer workflows
- Tune screening questions after seeing weak or mismatched candidates
- Refresh task briefs when the job or market changes
- Help managers recalibrate the funnel after hiring outcomes come back
A bad hire costs you a lot of money. Most operators take three to five before they figure it out.
Each new hire costs RM 15,000 to 30,000. Job ads, screen calls, interview hours that go nowhere, training that fails. Agencies charge 15 to 25% of yearly pay, so RM 12,000 to 25,000 per hire. A bad hire eats 6 months of your time before you even know.
Your team gets too busy. Clients leave. You finally hire under stress. You pick the wrong person. That hidden cost is 3 to 5 times more than the salary in churn, refunds, team morale.
The right test for the job.
Run ads
A plain-talk job page. No fluff. The right kind of person leans in. The wrong kind self-selects out.
AI chat sorts
AI asks why they want this role. Asks them to rate excitement 0 to 10. Below 8 is out. The most ready pass.
Paid small tasks (Week 1)
Small tasks that fit the role. They do them on their own. Pay RM 300 when they pass. The tasks change per job.
Real problem task (Week 2)
A real-life problem like the job. They solve it. Pay RM 300 when they pass. We see if they ask the right questions first.
Two short chats
AIS first (team fit). Then CEO + COO (culture). Score card decides. The best person wins.
When you filter well, good hires come faster, learn easier, bring less drama, and pay back sooner. Because you filtered at the top of the funnel. The rest is just execution.
Every new lead, researched before you reply.
The moment a lead opts in, the AI researches them on its own, from nothing more than an email and a phone number. What business are they in? Are they a director or a decision-maker? What might they actually need? It builds a profile before your team types a word.
Think of it as a super CRM that fills itself in. Even when a lead tells you almost nothing, you walk into the conversation already knowing who you are talking to.
- B2B sales teams with inbound leads
- High-ticket coaches and consultants
- Agencies qualifying a flood of opt-ins
- Anyone whose reps research leads by hand
- Founders who want to know who raised their hand
- A profile built from just an email and a phone
- Likely business, role, and seniority
- A read on what they probably need
- An instant marketing brief before the first reply
- A CRM that populates itself, no data entry
- You receive enough serious leads that manual research slows reps down or gets skipped
- Deal size is high enough that a few mishandled leads create meaningful opportunity cost
- You need ICP scoring, enrichment, routing, CRM population, owner alerts, and reply briefs
A lead intelligence layer that briefs sales before the first reply.
We install enrichment rules, ICP scoring, CRM fields, routing logic, owner alerts, and reply briefs so serious leads are treated differently before a rep wastes the opening message.
- Change ICP thresholds, priority segments, industries, and disqualifiers
- See which campaign or channel brings serious buyers versus noise
- Route leads by score, region, role, business type, or source
- Update reply briefs when the offer, market, or sales script changes
- Add new data sources, CRM fields, scoring dimensions, or routing rules
- Tune scoring after reps report which leads became real opportunities
- Fix CRM mapping or enrichment issues when forms and fields change
- Build new reports by campaign, product, source, or sales owner
You can't tailor the pitch to someone you know nothing about.
A rep researches a lead by hand: Google, LinkedIn, the company site. 10 to 20 minutes per lead, if they bother. On a busy day with 50 opt-ins, nobody bothers. So most leads get a generic, blind first message.
Hot decision-makers get the same canned reply as tyre-kickers. Reps waste the opening message asking what you could already know. The pitch never fits, and the highest-value leads quietly slip to whoever did their homework first.
Opt-in to full profile, before the first reply.
Lead opts in
From an ad, a form, or a chat. The AI captures the email and phone the moment they raise their hand.
Research
AI enriches from public sources. Company, industry, role, seniority, and likely needs, pulled into one profile.
Profile
A short marketing brief on the person lands in your CRM and team chat. No manual data entry.
Brief the reply
Your AI Employee or your rep opens the conversation already knowing who they are and what they probably want.
Keep it current
The profile updates as the lead engages. The CRM keeps filling itself in, lead after lead.
Rolling out now. Lead Research is the newest system in the catalogue, and a glimpse of where the AI OS is heading: not just acting on your business, but understanding everyone who touches it. Scoped on the partner plans like every other advanced automation.
Do not buy nine things. Install the first leak.
The strongest clients usually start with one workflow that hurts: booking, quality, hiring, reporting, e-commerce lifecycle, webinar follow-up, ads, content, or lead research. Once the first workflow is real, the next one becomes obvious.
Pick the one that hurts most. We will build it. Or pick the bundle and run the loop.