AI integration for UK SaaS, fintech, and B2B teams. We wire GPT-5, Claude 4.6, and Gemini into your product behind a single gateway — the integration your team should have written if they’d done it before.
The gap between a runaway bill and a defensible feature isn’t the model. It’s the engineering discipline around it.
Engineer A shipped a GPT-4o feature in a long weekend. Beautiful in the demo. Six weeks later the bill was £14K for the month with no per-customer attribution, and they were rolling the feature back on Monday morning.
Engineer B shipped the same feature with a per-call token cap, a model router that uses smaller models where it can, and a gateway that swaps providers in config. Bill: £3.8K. Same accuracy. Same customer experience. Different CFO conversation.
The gap between Engineer A and Engineer B isn’t the model. It’s the engineering discipline around the model. That’s the work we do.
Every AI integration we ship climbs this ladder in week one. Each rung roughly halves cost without losing accuracy.
Hard token + latency cap on every call. Over budget fail fast or fallback. No infinite-loop bills.
JSON schema validated. No regex, no string parsing. Either valid JSON or a retry.
Haiku / 4o-mini for the 70% of tasks that don’t need a frontier model. Per-task, not per-feature.
Anthropic + OpenAI automatic caching hits 60-90% on RAG. Configure for it.
Know which customer is costing what. Per-feature, per-tenant, per-day. Live dashboard.
Smaller context where accuracy survives. Verified by eval, not vibes.
Each one decides whether your AI feature ships, scales, and stays inside budget.
“Our OpenAI bill was £1,400 last month. This month it’s £14,000.”
Per-call budget + per-tenant attribution. Hard token + latency caps on every call. Anomaly alerts to Slack at £X/day. Runaway bills become impossible architecturally.
“We’re entirely OpenAI. If they double prices or break the API, we’re stuck.”
Multi-provider gateway, swap in config. Swap GPT-5 to Claude to Gemini to self-hosted Llama in a flag. Verified against your gold set before cutover.
“We changed a prompt and a customer started getting wrong answers. We don’t know which prompt.”
Versioned prompts + eval-gated CI. Prompts in your repo, versioned, changelog tracked. Every PR runs against the gold set. Deploys regressing more than 5% are blocked.
“The AI made up a policy on a customer call. Now we have a complaint.”
RAG + citation gate + confidence threshold. No citation, no answer. Confidence threshold + escalation. Replay any production trace in a sandbox, add to gold set.
“OpenAI went down for an hour and our AI feature stopped working.”
Multi-provider fallback chain. If Claude fails GPT-5. If both fail cached response or graceful degrade. Three providers behind one gateway. No single point of failure.
“Will the provider train on our customer data?”
Zero-retention + PII redaction + self-host option. Zero-retention tier configured. PII redaction at the gateway. For regulated data, self-host Llama / Mixtral on your AWS VPC.
“The AI works great in the demo and badly with real customers.”
Gold set from real customer data. Eval gold set built from real tasks in week one. Production accuracy is the launch criterion, not demo accuracy.
“A customer says the AI gave them a weird answer. We can’t reproduce it.”
Trace ID + replay tool per call. Every AI call gets a trace ID. Replay any production call in a sandbox. Tweak the prompt. Compare new vs old.
A UK compliance SaaS with 280 customers ran every call on GPT-4o and burned £14K/month with no attribution. We rebuilt with the six-rung ladder: Haiku routing, structured outputs, per-tenant budgets, gateway. Accuracy went 96% to 97%. New bill. The round closed at 2.8× valuation.
Our LLM bill went from £14K to £3.8K in one month. Same product. Different engineering discipline.
One gateway, three providers, evals on every release, and the AWS layer underneath.
Thirty-plus AI integrations into UK SaaS since 2023. The gateway + routing discipline that turns a runaway bill into a defensible feature, in numbers.
Pain-first, soft-second.
Both, behind a gateway. Claude Sonnet 4.6 for reasoning + tone. Haiku for cheap classification + routing. GPT-5 for vision, voice, image generation. Gemini for long-context geo-specific work. The gateway routes per task. You never depend on one provider.
Yes. LLM calls route through your VPC if needed, secrets in your manager, metrics in your monitoring stack. AWS is the default. We integrate into your existing infra, not against it. Comfortable on GCP, Azure, Cloudflare, DigitalOcean, Vercel, Fly.io.
Per-call token cap, per-tenant daily budget, anomaly alerts to Slack at £X/day. Plus model routing so the 70% of cheap tasks don’t run on the frontier model. Median cost reduction post-discipline: 4×. We model your number in week one and re-baseline at week four with real traffic.
The gateway abstracts the provider. Swap is a config change. Eval harness verifies the new model on your gold set before you flip the production switch. We’ve done it four times in 18 months for clients. No customer noticed.
Zero-retention tiers configured by default. PII redaction at the gateway. For regulated data we self-host Llama or Mixtral on your VPC. Signed DPA + sub-processor list before week one.
30-day walk-away both ways. Milestone billing 25/25/25/25. UK VAT registered, listed on Companies House, shipping since 2019.
Every AI integration has two senior engineers paired. Every decision into an ADR same day. Mohit reviews every PR. Two handovers in seven years, both inside 48 hours, neither client noticed.
Yes, with 14 days’ notice. Engineers move to other projects. Spend pauses. Resume with 14 days’ notice. No cancellation fee.
ai integration, in context — the dashboards, flows and components your team actually ships, reviews and maintains.
Name the feature, the stack, and the budget you’d like to defend at the next board. Mohit replies inside 24 hours: a clear yes, a clear no, or the one question that decides it.
Yes, no, or the deciding question. Straight to your inbox.
We model your spend at 100× scale and design the provider gateway.
Gateway, evals, fallback, per-tenant cost dashboard. The CFO conversation changes.