AI that does
the expert work.
We are an architecture-first AI engineering practice building governed, grounded, evaluation-tested AI systems, with humans in control of every consequential action. We build new grounded systems, evaluate and govern existing agents, and solve operating problems through proven case wedges. Eval-tested, self-hosted, and yours to own.
For business and operations leaders whose best people are stuck on repeatable, manual work a system should handle.
- TAFI279/279 evalplain Englisha working app
- Orions≤ 240s · read-onlyan incidenta cited root cause
- VistaGPT19,249 schema entriesplain Englishvalidated T-SQL
- Voice AI24/7 · £25K/yr saveda missed calla booked job
Most enterprise AI
never ships.
You ran the POC. The demo convinced everyone. Then it hit the real pipeline, your data, your edge cases, your compliance team. Three months later the agent still fails 15% of evals and no one will sign off.
The problem was never the model. It's that the system was never built for production: no eval harness, no regression gate, no monitoring, no graceful fallback. A notebook and a prayer.
We build it right the first time, with the architecture that makes it testable, deployable and maintainable.
Three practice areas.
One engineering standard.
Every system ships with an eval harness, a CI regression gate and full observability, from day one.
Exhibits. Real systems,
real metrics, honest status.
Orions is live in production. TAFI is certified in internal test runs, and VistaGPT and AI CompMate are in development, shown without a production score.
Plain English → a complete, registered TechAppForce application. 96 live API calls per build, in exact dependency order, no manual intervention.
Incident report → evidence-backed RCA published to Azure DevOps. Zero analyst time. Strictly read-only, enforced at the framework level, not by policy.
Plain English → validated T-SQL against Viewpoint Vista ERP, grounded in a 19,249-entry schema so no table or column is invented. 4 SQL engines behind one interface.
A passive intelligence layer that reads the organisation and surfaces decisions and blockers, delivered as a governed morning brief in Microsoft Teams. In active development; the wider architecture is the target design.
Where automations
actually pay off.
Ten production automations, grouped by the part of the business they run. Each is a documented build, deployed in days, not a demo. Pick the closest fit and read exactly how it works.
Don't read about it.
Let an agent call you.
The same Vapi-orchestrated voice AI that recovered a £25K/yr receptionist for A&A. Pick a scenario, enter your number, and hear it handle a real call, live.
See the voice build →Diagnose first. Build
second. Ship with proof.
Two engagement models. Both include full ownership, eval testing and production deployment.
Engineering Program
Custom architecture, full engineering practice.
- Full discovery, architecture & requirements phase
- Multi-agent system or agentic pipeline, built from scratch
- Complete eval harness, must pass before production
- CI regression gate against future quality drift
- Full observability from day one (LiteLLM + Langfuse)
- Documentation and 30-day support at handoff
Agentix Rapid
One scoped automation, live in days.
- Scope call to define the automation boundary
- Single-focus automation built in 2-5 days
- QA and production deployment included
- Self-hosted, your infrastructure, your data
- 100% ownership on delivery
Explore by angle: all six solutions · five industries · about the practice
Eight things that
are never optional.
These apply to every system, in every engagement. They are the line between a POC and production software.
All external I/O routes through a typed MCP gateway. Agents never call live systems directly.
TAFI: 12 core MCP tools · Orions: read-only gateway
No eval, no sign-off. Full stop. Every system carries a scored harness before it ships.
TAFI QA 100 · Orions 7 golden incidents
A regression gate scores every change against a fixed set of golden cases, so quality drops surface before release.
Orions: regression gate on 7 golden incidents, run manually today
Deterministic grounding runs before the LLM reasons. Structural enforcement, not prompt-craft.
VistaGPT: 6 parallel ChromaDB stages + reconcile
Every agentic system has explicit confirmation points. Bypass is opt-in, never the default.
TAFI: 3 named gates · CompMate: Observer→Partner ladder
Traces, per-stage latency and cost-per-query, instrumented from day one, not day ninety.
LiteLLM + Langfuse on every system
Multi-provider routing in one layer. Instant failover, no per-service configuration.
VistaGPT: 8 services unified · configured provider, automatic failover
New versions run in shadow mode beside v1. Compare on real traffic before cutover.
Orions v2: DIAGNOSIS_V2 flag (off by default) · GET /eval/shadow-report
Production systems running
for leading organisations.
Orions live with StubsAI; VistaGPT in development with construction-ERP design partners. Every layer self-hostable, clients own it all.
An 8-person engineering practice, not an agency. Sagar Maheta is lead architect across all five systems. Meet the practice →
Production-grade,
open-source, yours.
You own every layer. No vendor lock-in. Self-hosted option on every engagement.
There's a number
hiding in your ops.
For established operations, our fixed-fee Process Audit maps every manual handoff, puts a defensible cost on the waste, and installs the agents that remove it. Check if you qualify, it takes one tap.
How the audit works →Ready to build something
that actually ships?
Tell us what you're trying to automate. We'll tell you how we'd build it, what it would take, and show you the eval score it would have to pass.