Services · Last updated June 2026

AI agents that run the work people should not

Blash AI is the artificial-intelligence division of Blash Advisory, a London-headquartered corporate finance and advisory firm specialising in AI agent development, serving operators, corporates and funds across the UK, EMEA, the Far East and India.

We build agents that follow your written procedures, use the tools your team uses, and escalate the cases that need a person. Reliable autonomy, earned step by step.

What we build
  • Agents that follow your standard operating procedures
  • Tool use across your CRM, inbox, files and systems
  • Human approval gates on consequential actions
  • Evals and observability so behaviour is measurable
  • Exception handling that escalates the edge cases
Why it matters

An agent is only useful if you can trust it near the work that matters. We design for that trust: clear procedures, tool permissions, approval gates, and a record of every action, so autonomy grows on evidence rather than hope.

  • Routine cases handled end to end
  • Edge cases escalated cleanly to a person
  • A measurable error rate that earns more autonomy over time
How it actually works

We encode your procedure first, then give the agent only the tools and permissions it needs. Consequential actions pause for human approval until the error rate is low enough to relax. Evals run against real cases so you can see how the agent performs before it touches anything live, and observability shows what it did and why.

Built to be governed

Every action an agent takes is logged and attributable. Permissions are scoped tightly, approvals are required where money or messages leave the business, and the eval results are reportable to a board or an auditor. Autonomy is a setting we raise on evidence, not a default.

Our method

The Blash Earned-Autonomy Model

  1. Encode the procedure and scope the tools and permissions
  2. Require human approval on consequential actions
  3. Run evals against real cases and measure the error rate
  4. Relax approvals only as the record justifies it
Questions about ai agents
What is an AI agent, in plain terms?

A system that follows a procedure, uses tools such as your CRM or inbox to get work done, makes decisions within set limits, and escalates anything outside those limits to a person.

How do you stop an agent doing something wrong?

Tight tool permissions, a human approval step on consequential actions, evals that measure behaviour before go-live, and a full audit trail. Autonomy increases only as the error rate earns it.

Where do agents add the most value?

Repetitive, rules-plus-judgement work: triaging enquiries, qualifying leads, updating systems, drafting responses, and chasing follow-ups, with a person handling the exceptions.

Do we own the agent?

Yes. You receive the code, the prompts, the configuration and the documentation. You are never renting your own system back from us.

Ready to build this?

Book a call and we will map the first workflow worth automating

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