Custom Gen AI Products - Engineered for the Way Your Business Runs.
When the workflow is unique to you, the AI has to be. Agents, copilots, and autonomous workflows hardened for production – observability, fallbacks, A/B testing, kill-switches.
When to Build Bespoke Gen AI
SaaS Gen AI is great until it is not. When the workflow you want to automate is your competitive advantage, configuring someone else’s product around it is the wrong move. We build the AI for the workflow – not the workflow for the AI.
Baselines benchmarked against incumbent vendor quotes for equivalent scope, with independent advisory validation on engagements over $5M. Total programme TCO includes build, dual-running, training, change management, and 24 month run rate operations full methodology available on request.
What We Build
Agentic Workflows
Multi-step systems where the AI plans, uses tools, retrieves, writes, and waits for human approval at the right moments. Built with safety rails, action logging, and observable state.
- Tool use over your APIs and systems of record.
- Planner / executor / verifier patterns for higher reliability.
- Human-in-the-loop checkpoints at the right decision boundaries.
- Action audit trail – every action by every agent, traceable.
Domain Copilots
Embedded copilots inside your product or operating tools – not separate apps that the user has to switch into.
- UI patterns that fit the operator’s existing flow.
- Memory and personalisation scoped to user, role, and tenant.
- Eval harnesses calibrated to the operator’s acceptance criteria.
Autonomous Background Workflows
AI workflows that run without a human in the loop – triage, summarisation, routing, drafting – with clear escalation thresholds and operator dashboards.
Multi-Model Strategy
Single-model architectures are brittle. Every build uses two to four models behind a routing layer — toptier (Claude Sonnet / Opus) for high-stakes calls, mid-tier or open-source for high-volume work, small fast models for interactive paths, larger ones for batch. Fallback chains tested in staging. No single point of failure.
Five layers in from day one: observability (Langfuse, Phoenix, OpenTelemetry — per-prompt cost, latency, quality); eval gates that block any regression at merge; in-product A/B testing on real traffic; killswitches at tenant, feature, and model level; and FinOps controls so inference cost stays a budgeted line item, not a surprise.
Engagement Commercial Models
Four paths, matched to your risk appetite. Outcome-Based ties ~30% of fee to a production KPI. FixedScope, Fixed-Fee suits well-defined first releases. Time & Material runs pods of four to seven engineers against your sprint cadence. Co-Build embeds our team inside yours.
Manufacturing
Plant-floor agents, technician copilots, quality vision systems.
BFSI
KYC agents, fraud-investigator copilots, underwriting assistants.
Healthcare
Clinical documentation assistants, prior-auth agents.
Retail
Merchandising copilots, returns triage agents, personalisation engines.
Supply Chain
Autonomous planning agents, exception triage workflows.
FAQ
Frequently Asked Questions
How is bespoke Gen AI different from RAG?
RAG is one ingredient. Bespoke Gen AI is the whole product – including RAG where it fits, plus agentic workflows, multi-model routing, evals, observability, and production hardening. We build RAG-only systems too, but bespoke is what we build when the workflow is the differentiator.
Who owns the prompts, the evals, the orchestration code?
You do. Code lands in your repos. Prompts and evals version-controlled there too. Models are accessed via your accounts. No SMI-controlled keys, no vendor lock-in clauses.
How do you keep cost under control?
Multi-model routing, prompt caching where models support it, batch consolidation, and per-tenant budget alerts. Cost-per-outcome is a tracked metric, not an afterthought.
Ready to Build Bespoke Gen AI That Survives Production?
Book a 60-minute scoping call. We will pressure-test the workflow, agree the success metric, and put a 12-week first-release proposal on your table.