What does consultance.ai build?

Source-grounded AI deal desks and finance systems: diligence, reconciliation, financial close, reporting, underwriting, and compliance knowledge workflows, designed, deployed, and maintained end to end.

Who does consultance.ai work with?

Private equity funds, private credit teams, CFO offices, family offices, broker-dealers, and regulated finance teams that need faster, traceable workflows around confidential financial and deal data.

What makes a finance AI system trustworthy?

Material outputs need source links, verification states, approval controls, audit logging, and a clear exception path. The system automates the intelligence work while the finance or deal team retains judgment and final approval.

How long does an AI deal desk or finance automation build take?

A scoped proof of concept typically runs on representative data first. Production timing depends on data condition, integrations, deployment requirements, and the number of workflows in scope.

Do you transfer code and IP?

Yes. Code and IP transfer at every milestone. No subcontractors, no offshore handoffs, a direct line to the engineers building.

Do clients own the system?

Yes. The engagement is designed around client-owned code, prompts, data, and deployment. The team can run the system independently or retain consultance.ai for support and further build work.

Locations

AI consulting in London for teams ready to ship.

We help London companies turn AI plans into deployed systems for ops, customer workflows, documents, and internal tools. Audit-first. Remote. Six-week builds.

What we can build

AI consulting and implementation

LLM workflow design

RAG systems

AI automation

Custom AI software

Why this keyword matters

London teams have already seen the demos and read the decks. They want delivery. We start with the workflow that pays back, ship it, and move to the next.

Pick the use case worth chasing
Deploy actual systems
Improve ops with measurable automation

How AI consultancy services in London usually go wrong

London has no shortage of AI consultants. What it has a shortage of is engagements that end with something running in production. The common pattern: a consultancy firm scopes a discovery phase, produces a capability assessment and a use-case matrix, and hands it to a delivery partner who quotes against a spec that stopped matching reality the week it was written. Six months later the workflow still runs on a spreadsheet and someone renews the pilot.

We structure it so that cannot happen. Week one is an audit of the real thing: the inbox where leads land, the document pile someone retypes into a system, the report rebuilt by hand every Friday. Each candidate gets one number attached, hours saved or revenue recovered per month over what the build costs. Anything that fails that test does not get built, and we will tell you when the answer is no engagement at all.

From week three the same person who did the mapping writes the integration. You see working software inside the first month, with a human approval step anywhere money or messages leave the building. Six weeks to a production system is the normal shape, longer if the data is in bad condition, and we say which one you are before you commit.

Most of the London and UK teams we work with are between five and eighty people, founder-led, already running on Slack, Notion, HubSpot, or Salesforce. Engagements run remote, which is how those teams already work, and access and approvals get structured up front so the build never waits on a calendar. You can also test the thinking for free first: the build library on this site has runnable versions of the systems we sell.

Questions about ai consulting london

Do you work with London businesses?

Yes. Remote engagements across AI consulting, implementation, and production systems.

Best first project?

A repeatable workflow with clear value: lead handling, document processing, support triage, reporting, internal search.

What do your AI consultancy services in London include?

A workflow audit in week one, a ranked build list with payback numbers, then the build: agents, integrations, RAG search, or document extraction wired into the tools you already run. Handover includes the code, the prompts, and a working session with your team.

How is a founder-led AI consultancy firm different from a London agency?

The person who maps your workflow writes the code that automates it. There is no handoff between a strategy team and a delivery team, which is where most London AI projects lose three months and half the original spec.

Are you an AI implementation consultant or a strategy shop?

Both, in that order, but strategy is priced as the short part. Two to three weeks to a decision, then the build. If the honest answer is that an off-the-shelf tool solves it, we say so and there is no engagement.