Industries / Finance

Finance teams

AI agents for finance teams, built around the reporting cycle and review.

AI agents can draft variance commentary, keep board packs consistent and take the chasing out of month-end. We design and build them in Copilot Studio inside your own Microsoft 365 tenant, tied to the reporting calendar and to review discipline.

FiveForward designs and builds AI agents for UK finance teams in Copilot Studio and the Power Platform, covering variance commentary, board packs and month-end admin, so reporting speeds up without loosening control or sign-off.

Finance teams are under pressure to produce faster reporting, clearer commentary and better answers to the same questions every month. AI agents for finance teams help most when each one has a named job: a commentary agent grounded in approved analysis, a follow-up agent that turns budget-holder meetings into actions, an automation that chases the inputs around the close.

We start with the work itself. Discover and Design map the reporting cycle and produce a workflow map, prioritised agent use cases and a costed roadmap. From there we build the agents in Copilot Studio and Power Automate inside your own Microsoft 365 tenant, or your team ships its first agents and automations from the roadmap with us alongside.

The aim is not to automate the finance function. Agents assist the team with preparation, drafting and chasing. The figures, the models, the reconciliations and the sign-off stay owned and checked by people, with agreed review points on every agent.

Our work follows the FiveForward Framework, a five-stage method covering Discover, Design, Enable, Automate and Embed.

Finance workflows

Where agents take weight out of the reporting cycle.

Agents help a finance team most when they are mapped to the reporting calendar rather than trialled in isolation. These are the workflows we usually take weight out of first.

Variance commentary

A commentary agent drafts the narrative behind the movements from approved notes and source analysis, so the team edits and verifies rather than writing each commentary from scratch.

Board and management packs

An agent turns the underlying analysis into narrative summaries for board and management reports, keeping tone and structure consistent across the pack while a reviewer owns the content.

Budget-holder follow-up

An agent converts budget-holder meetings into action lists, decisions and draft follow-up emails so questions do not get lost between reviews.

Model and formula explanation

Microsoft 365 Copilot in Excel, already in the team's hands, explains formulas, model structure and reporting logic in plain English. That helps review, handover and onboarding without exposing the workings to risk.

Reporting-cycle admin

Power Automate flows chase inputs, track submissions and prepare the recurring status updates around the close, so the team stops doing the reminding by hand.

Finance process questions

A process agent answers recurring questions on policies, controls and how-to steps from approved documents, and points to a person when the question needs judgement.

Jobs for agents and automation

  • A month-end commentary agent that drafts variance narrative from approved analysis for review
  • A board pack assistant that keeps structure and tone consistent across pack sections
  • A budget-holder follow-up agent that turns meetings into actions, owners and draft emails
  • A close-tracker automation that chases inputs and prepares status updates each period
  • A finance-process agent that answers policy, control and how-to questions from approved documents
  • Microsoft 365 Copilot in Excel, which the team already uses, explaining formulas, model structure and reporting logic in plain English

Risks to manage

  • An agent's draft commentary is treated as the analysis instead of preparation for a qualified reviewer
  • Agents are grounded on stale or unowned spreadsheets, so answers sound confident but drift from the ledger
  • Permissions are set too broadly and an agent surfaces draft numbers or sensitive detail beyond the finance team
  • Sensitive figures are pasted into public AI tools because a governed in-tenant route was never set up

Where agents fit

Where agents fit in a finance team

Agents earn their place in finance once a task is repeatable, the source data is governed and the output is treated as preparation for a qualified reviewer, not a published number. That test rules plenty out and leaves a strong shortlist in.

The practical territory is commentary drafting, board pack consistency, budget-holder follow-up, process guidance and the chasing around the close. Each agent runs inside your own Microsoft 365 tenant, inherits the permissions you already have and works from sources the team owns.

The agent assembles, drafts and chases. Ownership of the figures, the judgement behind them and the sign-off stays with the team, with agreed review points on every agent.

A month-end commentary agent that drafts narrative from approved analysis for review

A variance assistant that gathers context and flags the movements worth explaining

A board pack helper that keeps structure and tone consistent across sections

An internal finance-process agent for policies, controls and recurring how-to questions

A close-tracker automation that chases inputs and prepares status updates each period

Common questions

Questions finance teams usually ask before building.

What would a finance team's first AI agent be?

A month-end commentary agent is the usual first build: grounded in approved analysis, it drafts the narrative for a reviewer and flags the movements worth explaining. It works because the task is repeatable, the source data is governed and the sign-off stays with the team.

Can an agent do the numbers or just the words around them?

The words. Agents are far stronger on narrative than arithmetic. They draft commentary, structure explanations and chase inputs, while the figures, models and reconciliations stay owned and checked by the finance team.

Is our financial data safe with agents?

Agents built in Copilot Studio run inside your own Microsoft 365 tenant. They inherit your existing permissions, so an agent can only see what the person using it could already see. Data stays inside the Microsoft 365 service boundary and is not used to train models. The practical work is tightening permissions and sources before an agent is grounded on them, and that is part of every build.

How much does a finance agent programme cost?

It starts with a free 30 minute consultation, no pitch, no obligation. The first paid step is Discover at £1,500 fixed, which covers Discover and Design together and is priced for organisations up to around 50 staff, with larger organisations scoped individually on the consultation with the same credit terms. The fee is credited back in full once follow-on spend passes £3,500 before VAT within 90 days of the roadmap. Scoped builds are typically £5,000 to £15,000 depending on the number of agents, the systems they connect to and the state of the source data, fixed at Design before work begins.

Can our own finance or IT team build the agents instead of you?

Yes. One route from the roadmap is a guided build at £3,950 fixed: two delivery days, two build reviews and 90 days of async support answered within 2 working days, where your team ships its first agents and automations from the roadmap with us alongside. Agent workshops, from £850 with a full day at £1,500, build the same skills within a wider programme and end with a working first agent built and running in your tenant.

How long does an agent build take?

Most scoped builds take two to six weeks from Design sign-off. A first declarative agent takes about 15 minutes to build in a workshop; the weeks go on connecting systems, tightening sources and agreeing review points, not on the agent itself.

When in the month should a finance team introduce agents?

Not during a live close. Introduce a new agent in the quieter window, practise it on a previous period, then let people lean on it through the next reporting cycle, so give it a full cycle before judging it.

Do finance staff still need to learn Copilot?

Builder enablement is part of delivery: the people who will own and extend the agents learn on the workflows the agents serve, through build reviews and agent workshops. When a team also wants end user Copilot adoption training, it is arranged through our training partner.

How do we get started without committing to a wide rollout?

Start with the free 30 minute consultation. Discover and Design then map the reporting cycle and produce a workflow map, prioritised agent use cases and a costed roadmap, usually starting from one or two month-end workflows. Design ends with a playback session of about an hour where you pick the route and the price is fixed, so the commitment stays small until the value is visible.

Recommended starting point

Copilot Studio Agent Builds

Custom agents grounded in the right knowledge and built for defined jobs, in your own tenant.

Most firms start with Discover, a fixed-fee first step that maps your workflows and finds the agent opportunities before any build. Details are on the pricing page.