Governed agentic delivery · Azure-native
Regulated and national-scale estates don't need another AI demo. They need legacy turned into AI-accelerated, audit-ready delivery — governed, evidence-first, and safe under scrutiny. Boutique economics. Partner-grade judgement.
Not cost-saving — capability.
Why Harten
Anyone can make an agent write code. The hard part — the part regulated sectors pay for — is the governed operating model around it: evidence trails, multi-model review, stop conditions, human checkpoints. Delivery a board and an auditor can trust.
Two decades inside the hyperscale-cloud ecosystem modernising legacy, national-scale, regulated estates — not greenfield toys. COBOL, middleware and tangled monoliths moved onto Azure, safely and provably.
An agentic operating model does the work of a delivery squad with the continuity built in. You get senior judgement on every decision and machine throughput on the execution — without the day-rate and ramp of a large integrator.
Services
Legacy estates assessed, planned and migrated to Azure with agentic delivery under real engineering discipline. Every change attributed, tested and reversible.
Stand up the agentic operating model inside your own teams: the gates, the evidence spine, the multi-model review, the audit trail. Capability that stays after the engagement ends.
Board-level direction for regulated and public-sector AI: where agentic delivery creates durable capability, where it doesn't, and how to govern it without slowing to a halt.
Ways to engage
Approach
Agentic delivery is fast because code is generated in volume. It is safe because that volume is corralled by layered control before a human ever reviews it. The discipline is the product.
Agents work from accurate ground truth — real schemas, typed tool surfaces and project conventions — not plausible guesses.
A second, independent model critiques every material change before sign-off, so the reviewer never shares the author's blind spots.
Intent, change, model attribution, validation and the review decision all live next to the code — an audit trail that exists because of how the work is done, not bolted on after.
Machines catch what machines can catch. Domain judgement and the merge decision — and accountability for it — stay with a human.
Changes carry their own rollback. Nothing irreversible happens without an explicit, deliberate gate.
Outcomes are reported against a baseline. Claims you can check beat claims that sound good.
Proof
The most serious modernisation work happens under confidentiality. What follows are proof patterns — the shape of the outcomes, without the client names.
“The win in agentic delivery isn't writing code faster. It's making fast delivery safe — provable, reversible and governed — in exactly the places where getting it wrong is expensive.”
About
Harten is led by a Director-level technology leader with two decades modernising regulated, national-scale estates from inside the hyperscale-cloud ecosystem — the environment where Azure, governance and public-sector delivery actually meet.
The work has always been the same shape: turn scattered technical opportunity into a governed motion that creates real customer value, lands durable capability on the cloud, and earns the trust of the people who carry the risk. Harten brings that judgement to a boutique engagement — with an agentic operating model that lets one senior operator deliver at the pace of a team.
No buzzwords, no hand-waving, no pretending the agents are infallible. Evidence first, sequence over chaos, and clear stop conditions over confident narration.
Start a conversation
The most honest way to judge agentic delivery is to watch it run against one scoped slice of your own estate. Tell us the problem; we'll walk you through how we'd govern and deliver it.
hello@harten.ioUK-based · Remote-first · Azure-native