AI AGENTS
THAT ACTUALLY SHIP.
AI is how we close the gap between diagnosis and results. Automated reporting, lead routing, review acquisition, follow-up sequences, lifecycle operations — built and deployed as part of every engagement, not sold as a separate product.
Reporting and anomaly detection
Automate the weekly reporting layer so the team spends less time assembling numbers and more time deciding what to do next.
Lead and lifecycle routing
Trigger the right owner, next step, or follow-up when a lead, user, or segment hits the right threshold.
Experiment support operations
Automate the repeatable work around experiments: QA lists, reporting snapshots, CRM hygiene, and status handoffs.
Proof the work stays tied to growth outcomes
UK dental practice
Problem: Strong offline reputation but invisible in local search. Booking form losing most mobile visitors.
Change: Cleared 38 technical SEO issues, rebuilt treatment pages, optimised Google Business Profile, cut form fields from 7 to 3.
3x organic traffic. Local pack wins for implants and emergency dentistry. 42 to 180 Google reviews.
Tech hardware launch
Problem: Launch traffic and community attention were not consistently turning into pre-order deposits.
Change: Aligned narrative, landing pages, FAQs, creator kits, and launch sequencing around one funnel.
$7m+ in gross revenue and multiple sold-out pre-order rounds.
Web3 gaming platform
Problem: Built a competitive esports product but 98% of their target audience had never used crypto.
Change: Redesigned onboarding to abstract wallet complexity. Built tournament-based acquisition loops.
100k+ players and 1,000+ tournaments. 98% of users were new to crypto.
How it fits the commercial model
- Diagnostic: identify the manual operational friction slowing growth work down.
- Sprint: build and launch the automation inside one clear workflow.
- Retainer: maintain and expand the automation layer only if it continues to support growth outcomes.
Best-fit scenarios
- Growth teams manually preparing the same reports every week.
- CRM and lifecycle workflows are creating lag between signal and action.
- The team has enough data to act, but operational cleanup is eating the time needed to ship.
Frequently Asked Questions
What is growth ops automation?
It is the automation layer around reporting, lead routing, lifecycle operations, and experiment execution. It supports growth work rather than replacing growth strategy.
Is this separate from your diagnostic and sprint work?
No. We usually identify the automation opportunity during a diagnostic, then scope and ship it inside a sprint or retainer.
Do you build generic chatbots?
No. We focus on operational workflows that remove friction for growth teams: reporting, routing, handoffs, lifecycle triggers, and experiment support.
When is this a fit?
When manual reporting, CRM hygiene, lead qualification, or lifecycle operations are slowing the team down and blocking execution.
Need the growth team to spend less time on operational drag?
Start with the diagnostic and we will show whether automation belongs in the next sprint.