Custom AI Development
Custom AI agents, built for you. Governance in the box.
The AI development company that builds autonomous agents with governance built in. Our engineers design and build production agents around your systems and your data, then deploy them on your own infrastructure with reasoning traces, human-in-the-loop controls, and policy-as-code.
Built by the team behind AI projects for
Built by Atchai
A platform, and the team that builds on it
CompleteFlow is built by Atchai, a London-based AI strategy and engineering consultancy. For more than a decade, Atchai has delivered AI for some of the most demanding organisations in the world, from the Cabinet Office and the Bank of England to the NHS, the FCDO, Microsoft, and Consensys.
That means you are not buying software and hoping to figure it out, and you are not hiring a generalist agency that disappears at handover. The same team that builds the platform builds your agents, and supports them once they are live. You get custom development and a supported platform underneath it.
100x
throughput on a government document workflow: 1.6 million files processed in weeks, work that would have taken years by hand
86%
fewer false positives in a document classification project for a government department
90%
user satisfaction on an AI product built for a clinical nutrition company
What we build
Production agents for document-heavy work
Document and due diligence agents
Agents that read entire document sets, extract what matters, cross-reference sources, and surface issues for review. Used for contract review, due diligence questionnaires, and data room analysis across legal, asset management, and private capital teams.
Reporting and research agents
Agents that pull from your systems to draft client reports, summarise research, and prepare briefings, with every figure traceable back to its source.
Monitoring and compliance agents
Agents that watch for regulatory change, flag exceptions, and keep a logged record of every check, so your team reviews the exceptions instead of the whole queue.
Operational workflow agents
Agents for intake, classification, routing, and approvals across high-volume operational work, including public sector document processing at scale.
These are starting points. If the work follows a process, we can build an agent for it. See the platform →
Built-in governance
Governance is part of the build, not bolted on after
Most AI projects treat governance as something you add once the agent works. We build it in from the start, because in professional services and the public sector the controls are the difference between a pilot and production.
Reasoning traces on every decision
Each agent logs what it did and why. You get a reviewable record that stands up to internal audit and external scrutiny.
Human-in-the-loop approval gates
You decide which actions an agent takes on its own and which need a person to sign off. Autonomy stays inside the limits you set.
Policy-as-code and scoped permissions
Rules about what agents can access and do are written as code and enforced at runtime. Every agent runs with the narrowest permissions it needs.
Private deployment
Agents run on your own infrastructure across Azure, AWS, GCP, or on-premises. Your data stays in-house, under your own keys and controls.
More on the controls and architecture in our security overview and governance guide.
How we build
From ambition to agents in production
Discover and strategise
We assess where AI creates measurable value across your operations, then build a prioritised roadmap. You get a clear view of the highest-value agents to build first and the business case behind them.
Architect and design
We design the agents and the governance around them: where humans approve, what each agent is allowed to touch, how decisions are logged. Scalable, secure, and built for your own infrastructure with no vendor lock-in.
Build and deliver
Our engineers build production agents in focused sprints, connected to your systems through the Model Context Protocol. You see working software early and often, not a slide deck.
Integrate and enable
We deploy into your environment, integrate with the tools your teams already use, and train your people to build and run agents themselves on CompleteFlow. The capability stays with you.
Why build with us
| Capability | Atchai + CompleteFlow | Generic dev agency | In-house build | Horizontal SaaS |
|---|---|---|---|---|
| Built-in governance: audit trails, approval gates, policy-as-code | ✓ | ✗ | ~ | ~ |
| Runs on your own infrastructure | ✓ | ~ | ✓ | ✗ |
| Production track record in professional services and government | ✓ | ~ | ✗ | ~ |
| You own the agents and can export them | ✓ | ~ | ✓ | ✗ |
| Agents run on a supported platform after handover | ✓ | ✗ | ✗ | ✓ |
| Connects to your systems via the Model Context Protocol | ✓ | ~ | ~ | ~ |
| Your team can build and change agents without code | ✓ | ✗ | ✗ | ~ |
A tilde means partial or depends on the provider and how the project is run.
“This is the best use of AI within government I've seen!”
“Atchai developed critical agents that perform seamlessly within tight model constraints. Their precision and reliability made all the difference.”
“We found Atchai's experience and knowledge of this space invaluable. Their approach was very professional and well structured.”
Frequently asked questions
Can you build custom AI agents for our organisation? +
Yes. CompleteFlow is built by Atchai, an AI strategy and engineering consultancy. Our engineers design and build production AI agents tailored to your systems, your data, and your processes, then deploy them on CompleteFlow with governance built in.
Who builds the agents, and is CompleteFlow built by Atchai? +
CompleteFlow is the platform built by Atchai, a London-based AI strategy and engineering consultancy with more than a decade of experience delivering AI for organisations including the Cabinet Office, the Bank of England, the NHS, and the FCDO. The same team builds custom agents for you and supports them on the platform afterwards.
What does built-in governance mean for a custom AI agent? +
Every agent we build logs its decisions with reasoning traces, runs under human-in-the-loop approval gates you define, and enforces what it can access through policy-as-code and scoped permissions. Governance is part of the build, not a layer added later.
How do you make autonomous agents safe for sensitive work? +
Agents are autonomous within the guardrails you set. You decide which steps run on their own and which need human approval, each agent gets the narrowest permissions it needs, and every action is logged. This keeps the blast radius small and every decision reviewable.
Do we own the agents you build for us? +
Yes. You own the agents your organisation commissions and can export, modify, and extend them. There is no vendor lock-in, and you can run the model you choose.
Can the agents run on our own infrastructure? +
Yes. Agents deploy into your own cloud tenancy across Azure, AWS, or GCP, or on-premises. Your data stays within your environment under your own controls.
What kinds of organisations do you build for? +
Teams that handle document-heavy, sensitive work: law firms and in-house legal teams, asset managers, private capital firms, financial services, and public sector organisations.
Have an agent in mind? Let us build it.
Book a strategy session and we will map the highest-value agents across your operations and how the governance fits.
Book a Strategy Session