AI agents that run your marketing and sales engine
We design, build and operate the agents that handle the repeatable work in your go-to-market: buying signals, enrichment, outreach, content, CRM hygiene and reporting. Your team keeps the conversations that close.
Built on your existing stack. Every send-to-customer action stays behind a human approval gate.
Your playbook is mature. Its execution is still manual.
Outbound cadences, qualification frameworks, a seven-stage pipeline, a CRM as the source of truth. The process works. But every cadence step, enrichment check, field update, handoff and call note is done by hand, and that is where pipeline leaks.
Leak 1 Data loss
Interactions logged late or never. Deals with no next task. Qualification fields that are blank at the stage where they matter most. The forecast is a guess because the record is a guess.
Leak 2 Slow follow-up
A Loom gets watched, an email gets opened, a regulator publishes a change, and nobody acts for two days. Buying signals expire faster than a weekly pipeline review can catch them.
Leak 3 Rep time
SDRs spend hours researching hooks and copying contacts. AEs write proposals from scratch and re-read old notes before every call. The expensive people do the cheap work.
One closed loop, not seven disconnected automation projects
Marketing feeds sales signals. Sales feeds marketing customer insight. Every closed deal, won or lost, trains the next cycle. Effort compounds instead of dissipating.
Content, ads and SEO on autopilot
Trend harvesting, keyword research, briefs, first drafts and channel variants for LinkedIn, X, email and ads. Daily campaign reporting, creative testing and anomaly detection across Meta, Google and LinkedIn.
Signals to sequences
Daily account retiering from fresh intent signals, contact enrichment waterfalls with five or more contacts per account, personalised openers from real LinkedIn activity and multi-touch sequences that run on schedule.
Every visitor, every form
Website visitor identification, ICP scoring, lookalike list generation, conversational qualification via chat, workflow enrolment on submission, retargeting rebuilds and dormant lead re-engagement.
Prepared reps, clean stages
Call transcription with qualification extraction, a pre-call intelligence refresh one hour before every meeting, proposal first drafts from the deal record and stale-stage detection with close-date hygiene nudges.
Closed won is a beginning
Customer success handover packages generated on close, win and loss pattern analysis, expansion triggers and a weekly team digest that turns outcomes into sharper targeting.
Reasoning, gates and digests
Claude and OpenAI models wired into your CRM and channels, with approval gates on every customer-facing send, an exception log reviewed monthly and quarterly retraining of scoring models.
Named agents with one job each, wired into your CRM
Each agent owns a narrow, measurable task. That keeps them reliable, easy to audit and easy to switch off.
Signal Harvester
Monitors Sales Navigator alerts, industry news, regulatory updates and intent data. Logs every signal against the account.
Enrichment Waterfall
Finds and verifies five or more contacts per target account across providers, tags roles and syncs to HubSpot.
Cadence Runner
Executes the outbound sequence on schedule with a fresh, non-templated email per contact and LinkedIn drafts for the rep.
Call Scribe
Transcribes every meeting, extracts qualification fields and next steps, and updates the deal within minutes of hang-up.
Deal Risk Scorer
Nightly sweep of every open deal: stakeholder loss, stale activity, qualification gaps, competitor mentions and velocity.
Proposal Drafter
Assembles a first-draft proposal from the deal record and pricing rules. A person reviews and sends. Always.
Content Factory
Turns trends and keywords into briefs, drafts and channel variants. Publishing waits for the marketing lead's approval.
Digest Bot
Monday intent review, Wednesday at-risk list, Friday hygiene report and daily ad performance, delivered to Slack or WhatsApp.
Three ways to start. Each one pays for itself on its own.
Start with the engine that hurts most. Both engines share the same AI layer, so the second is faster to add than the first.
Outbound that never sleeps
The revenue foundation: outbound sequences, CRM discipline and pipeline automation for your SDR and AE motion.
- Signal harvesting and daily account retiering
- Enrichment waterfall synced with role tags
- Fresh, non-templated email per contact
- Engagement detection and 2-hour reply routing
- AE briefs with a 12-point completeness check
- Nightly deal risk scoring
Typical timeline: 6 to 10 weeks
Discuss the sales engineInbound on autopilot
AI content workflows, paid acquisition reporting and inbound lead capture and nurture, end to end.
- Content production from brief to channel variants
- Audience sync and creative testing across ad platforms
- Visitor identification and ICP scoring
- Conversational qualification via chat
- Lead scoring, nurture enrolment, re-engagement
- Daily performance digests
Typical timeline: 6 to 8 weeks
Discuss the marketing engineEnd-to-end GTM system
Both engines integrated with attribution, expansion loops and the operating cadence that keeps it moving.
- Stage gate enforcement against your playbook
- Live qualification progression dashboard
- Monday, Wednesday, Friday intelligence cadence
- Approval gate matrix with override logging
- Monthly operating review
- Quarterly model retraining on won and lost deals
Typical timeline: 6 months, four phases
Plan the full flywheelAutomate the drudgery. Keep humans on the decisions that matter.
Automation works because it removes friction from repeatable tasks. Apply it to high-stakes judgment calls and it damages trust and loses deals. We draw the line clearly, in writing, before we build.
What we automate
- Signal monitoring and daily account prioritisation
- Contact enrichment and CRM sync
- Sequence execution across email, LinkedIn and call tasks
- Email, content and proposal first drafts
- Call transcription and qualification extraction
- Activity logging SLAs and no-task detection
- Deal risk scoring and weekly digests
- Customer success handover packaging
What stays human
- Discovery calls and technical demos
- Cold calls to senior buyers
- Champion testing and relationship building
- Final proposal approval and sending
- Negotiation and concession decisions
- Executive buyer engagement
- Closed lost post-mortems
- Publishing for regulated sectors
Where a person signs off
Every override of an automated gate is logged with a reason. If the same rule gets overridden ten times, the rule is wrong and gets updated.
| Decision point | Who approves | Trigger |
|---|---|---|
| Content published to public channels | Marketing lead | Every piece before go-live; regulated sectors get compliance review |
| Paid budget above the daily threshold | CMO / Founder | New campaign launch or budget increase |
| Sequence enrolment for Tier 1 accounts | SDR manager | First enrolment per account; subsequent runs auto |
| LinkedIn outreach send | Individual SDR | Every message; AI drafts, human sends |
| SAL to AE handover | Receiving AE | 12-point completeness check must pass |
| Stage progression beyond Discovery | AE + qualification check | Exit criteria validated automatically; override with logged reason |
| Proposal sent to customer | AE | Every proposal; AI drafts, AE reviews and sends |
| Discount above AE authority | Sales manager / VP | Tiered by percentage; logged with the corresponding ask |
| CS handover on Closed Won | AE + CS lead | Package auto-generated; human review before transfer |
Six months, four phases, value from week one
Each phase ships something your team uses the same week, while building toward the full flywheel.
Foundation
Stop the data loss happening right now. Logging SLAs, no-task detection, enrichment waterfall and signal capture into the CRM.
Sales engine
Cadence Runner, engagement routing, AE briefs, Call Scribe and nightly deal risk scoring go live.
Marketing engine
Content Factory, ad reporting and audience sync, visitor identification, chat qualification and nurture flows.
Full flywheel
Attribution, expansion loops, monthly operating review and quarterly model retraining on the last 90 days of outcomes.
Built for teams selling considered purchases
Long cycles, multiple stakeholders and a CRM that already matters. That is where an execution layer pays back fastest.
Cybersecurity and enterprise software
Regulatory triggers, breach news and exec moves as buying signals. Compliance review baked into content for BFSI, healthcare and government prospects.
B2B SaaS
Product-usage and intent signals feeding outbound, trial-to-paid nurture and expansion triggers on the existing base.
Agencies and consultancies
Content production at volume with a human publish gate, plus a repeatable outbound motion for a service business that has always sold on referrals.
E-commerce and D2C brands
Ad creative testing, audience rebuilds, daily performance digests and re-engagement of dormant customers without a bigger team.
Questions we get on the first call
What is AI automation for go-to-market teams?
What is the difference between an AI agent and a chatbot?
Will AI agents replace my SDRs or account executives?
How long does an implementation take?
Which tools do you work with?
How do you keep automation from sending something wrong?
Do you use AI voice agents for cold calling?
Find out what your team could automate this quarter
A 30-minute call. We map your current GTM motion, show you where automation removes drudgery, and where it should not go.
- A written automate-versus-human map for your motion
- The three agents that would pay back first
- A phased plan with the approval gates already drawn
- No slides, no pressure, and you keep the map either way
Prefer email? growthagentshub@gmail.com
Your playbook, executed by agents. Your people, on the calls that matter.
Start with one engine or plan the full flywheel. Either way, you get the map on the first call.
Book a strategy call