Selected work

The work, and the numbers it moved

Client names are withheld under NDA, but every figure below is pulled from the shared dashboards we reported against. We will walk you through the raw data on a call.

B2B SaaS · Series C

From invisible in ChatGPT to the category's cited source

Strong classic rankings, but competitors were being named by LLMs during vendor research. Non-brand demo requests had been flat for four quarters.

What we did

  • Rebuilt the entity and topical map around how models retrieve the category
  • Shipped 180 answer-first pages backed by original benchmark data
  • Ran digital PR against the specific sources the models were citing
  • Stood up citation tracking across five generative engines
SEO, GEO & AEO StrategyAI-Powered Content Writing & Scaling

Results

3.4x
AI citation share
+118%
Non-brand clicks
-42%
Cost per lead
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DTC retail · 2M customers

An agent that resolves two thirds of support without a human

Support headcount was scaling linearly with order volume. The incumbent chatbot deflected under 8% of tickets and customers routed around it immediately.

What we did

  • Grounded a retrieval layer in policies, order data and three years of tickets
  • Gave the agent scoped write access to refunds, address edits and subscriptions
  • Built an evaluation suite so every prompt change is regression-tested
  • Added confidence-based escalation with full transcript handoff to humans
Custom AI Agents & ChatbotsWorkflow & API Automations

Results

68%
Autonomous resolution
<2s
First response
+11pt
CSAT
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Fintech app · consumer

Sixty creative variants a week, at a third of the old cost

Media budget was ready to scale but creative production capped spend at two videos a month, and every winning ad fatigued within nine days.

What we did

  • Built a hook matrix from the top-performing existing messaging
  • Produced avatar-led and motion variants in batches, localised to six markets
  • Wired creative output directly into the paid testing loop
  • Fed predicted LTV back into bidding so spend followed margin
AI Video ProductionAI Performance Marketing

Results

12x
Variants per cycle
-38%
Blended CAC
2.7x
ROAS
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Logistics · 400 staff

1,400 hours a year returned to the operations team

Order data was rekeyed between four systems by hand. Errors surfaced days later as customer complaints, and nobody trusted the reporting.

What we did

  • Mapped 23 manual handoffs and ranked them by hours saved
  • Built API middleware for the two legacy systems with no connectors
  • Automated document extraction and validation with human approval steps
  • Added retries, dead-letter queues and alerting that pages a real person
Workflow & API AutomationsDebugging & Error Detection

Results

1,400
Hours saved / year
-92%
Entry errors
11 days
Median build time
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Healthtech · seed stage

Prototype to SOC 2-ready production in ten weeks

An impressive demo that fell over under real load, with no auth, no billing, no evaluation harness and an enterprise security review scheduled.

What we did

  • Rearchitected around streaming inference with routing and fallbacks
  • Shipped auth, roles, usage metering and subscription billing
  • Built evaluation suites and load tests into CI before launch
  • Handed over infrastructure-as-code and full documentation to the in-house team
Full-Stack AI App DevelopmentDebugging & Error Detection

Results

10 wks
To production
99.97%
Uptime since
100%
Code handed over
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Honest note

Not everything works

About one in five experiments we run does not beat the control. We kill those fast and say so in the monthly review — the compounding comes from cutting losers quickly, not from pretending they were wins.

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