Structured matter intake for a law firm
Fee-earners received cleaner intake packs while legal judgement stayed with the lawyer.
Blash AI is the artificial-intelligence division of Blash Advisory, a London-headquartered corporate finance and advisory firm specialising in AI governance and assurance, serving boards, corporates and funds across the UK, EMEA and the Far East.
This is the difference between an AI demo and an AI system a regulated business can run. We put the controls, monitoring and reporting around AI that a board, a CFO and an auditor expect.
A generic AI supplier ships agents with no controls. A large consulting firm delivers a roadmap and a closing email. We come from a corporate-advisory firm, so governance shapes how we build from the first day.
We define the controls before the build: where a human must approve, what gets logged, and how performance is measured and reported. For AI you already run, we review it against the same standards and close the gaps, so the systems in your business are ones you can stand behind.
This service is the governance. The output is a control framework, a monitoring and audit-trail setup, and board-ready reporting, mapped to how your firm is overseen and built with reference to ICO guidance on AI and data protection and the NIST AI Risk Management Framework. It is the assurance layer that lets the rest of your AI run safely.
Fee-earners received cleaner intake packs while legal judgement stayed with the lawyer.
More enquiries were captured without crossing advice boundaries.
Staff could answer internal policy and product questions faster with source traceability.
Because an AI system that touches money, customers or regulated data needs the same controls as any other part of the business. Governance is what lets you use AI without taking on risk you cannot see or defend.
Yes. We assess existing systems against our control standards, identify the gaps, and put the monitoring, approvals and reporting in place to close them.
What each system did, what it decided and refused, the error rate, the approvals applied, and the data it touched, presented in terms a board and an auditor can read.
No. Any business using AI near money, customers or sensitive data benefits from clear controls. The depth scales to the size of the risk, not the size of the company.
The systems we build run inside your own accounts and systems, so your data stays where it already lives. Model providers are used under API terms that exclude training on your data, permissions are enforced, every action is logged, and a data protection impact assessment is completed before any higher-risk processing goes live.
You own and operate the system, and the controls are designed so nothing consequential happens without human approval while autonomy is being earned. Every action is logged with the basis for it, so responsibility can be established from the record rather than argued about after the fact.
We work with leaders who want AI to move revenue, response time and admin load, not a slide deck. Every recommendation ties to one measurable number.
We connect AI to the tools your team already lives in: inboxes, CRMs, spreadsheets, databases and finance systems. The system classifies, routes, drafts, summarises and updates, so people are no longer the copy-paste layer.
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.
When off-the-shelf tools cap out, we build the software that fits your workflow, data and process: internal apps, dashboards, integrations and automations. Code you own.
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