SigmaEra for Finance

You're funding an AI strategy nobody can measure.

SigmaEra is the enterprise AI orchestration platform — the layer that consolidates scattered AI spend into one governed, measurable capability, and shows you where organizational effort is quietly being duplicated.

A budget cycle, end to end

From a dozen invoices to one number you can defend.

The arc a finance leader walks with SigmaEra: what you are currently approving blind, what becomes measurable, and what you can finally say about return.

  1. 1Renewal season

    You are approving AI spend you cannot see

    Six teams have their own AI subscriptions, expensed separately, described differently, none of them evaluated against each other. You are signing for a strategy nobody has written down.

    What you have to answer

    • What are we actually spending across every team, in total?
    • Which of these tools overlap, and which are load-bearing?
    • Who owns the contract, and what happens at renewal?

    The layer that answers it

    One governed surface

    One platform with one contract in place of per-team subscriptions, with usage and cost attributed per tenant and per workload rather than inferred from an expense report.

    What changes for you

    The line item becomes one number with real usage behind it, instead of a dozen you reconcile by hand and cannot compare.

  2. 2The business case

    The return question you keep being asked

    Someone asks what the AI investment returned. The honest answer is that nobody instrumented it, so the case for renewing rests on anecdote and enthusiasm.

    What you have to answer

    • What is the measurable effect, and on which cost line?
    • Can I attribute a saving to a specific behaviour change?
    • What would I tell the board if they pushed hard on this?

    The layer that answers it

    Cost as a governed control

    Model spend runs through a policy enforcement point with budget pre-flight, so cost is a control rather than a monthly surprise. Time returned to managers, meeting hours removed, and duplicated effort identified are all measurable against a baseline.

    What changes for you

    You can defend or kill the investment on evidence. Both are better than renewing it because cancelling would be awkward.

  3. 3The uncomfortable finding

    The most expensive thing is invisible

    Duplicated effort does not appear on any budget line. Two teams solving the same problem for a quarter costs more than most of the software you scrutinize, and no report will ever show it.

    What you have to answer

    • Where are we paying twice for the same work?
    • Which initiatives are quietly running past their justification?
    • How would I even detect this today?

    The layer that answers it

    Cross-team pattern detection

    Duplicated initiatives, overlapping workstreams, and drifting scope surface from how work is actually discussed across teams, rather than from what each team reports about itself.

    What changes for you

    The largest category of waste in a knowledge business becomes visible for the first time — and it is usually larger than the software line you were arguing about.

  4. 4The audit question

    What are we exposed to

    Your auditors and your insurers both want to know how AI is being used and controlled. "We have a policy" is not going to survive the follow-up question.

    What you have to answer

    • Can we evidence how AI is being used, not just assert it?
    • What is our actual exposure if this goes wrong?
    • Which claims can we put in writing?

    The layer that answers it

    Evidence rather than assertion

    Append-only audit of authentication, authorization denials, and every sensitivity-filtered read, with defined retention. Controls are published with their real maturity, including the ones built and not yet switched on.

    What changes for you

    The compliance answer is a query result rather than a memo, and you know precisely where the honest limits of your claims are.

  5. 5Next year

    What happens when it works

    If this succeeds, more teams want it, and the question becomes whether the cost curve bends the right way or the wrong way.

    What you have to answer

    • Does unit cost improve with scale, or degrade?
    • What controls stop a runaway bill?
    • Are we locked in, and at what price?

    The layer that answers it

    Budget control and portability

    Budget and quota pre-flight can deny a run before it costs anything, prompt caching reduces repeat cost on supported paths, and a no-cloud-lock-in rule in the data plane means the exit is a migration rather than a rebuild.

    What changes for you

    Growth in usage is a decision you control rather than an invoice you receive, and the switching cost stays bounded.

Control register

Read the full security white paper

Every layer above is documented there in full, including the threat model and the control-status register.

The full SigmaEra platform, for Finance

Beneath the controls, the platform itself.

The five capabilities every SigmaEra deployment runs, read through the lens of this role.

Five stages · Protect → Emerge
  1. 01

    Protect

    Forecasts, models, and board materials stay inside your perimeter — never training a vendor's model on your numbers.

  2. 02

    Orchestrate

    One platform replaces per-team AI subscriptions — one contract, one bill, one governed surface with real usage data behind it.

  3. 03

    Automate

    Recurring reporting, variance narratives, and close-cycle follow-ups draft themselves from the source systems.

  4. 04

    Compound

    Every cycle sharpens the picture — cost drivers, effort duplication, and spend patterns accumulate into institutional memory.

  5. 05

    Emerge

    Cost and exposure surface that no budget line was ever structured to reveal.

The Compound Effect

Intelligence that builds on itself.

3–6h
saved per manager per week by eliminating manual reporting, follow-ups, and recurring admin.
10×
faster strategic risk detection — surfaced from meeting and workflow data before it reaches the board.
1
company-specific model — your corporate knowledge compounds into a private intelligence layer that gets smarter every week.
Source: Platform security white paper — Model processing & training
In Practice

What this actually looks like.

6 hours returned to a manager

  1. 1

    Meeting Summarizer

    Input & Translation

    Converts 4 hours of meeting recordings into structured summaries with decisions and owners

  2. 2

    Action Tracker

    Input & Translation

    Extracts 14 action items, assigns owners, and sets due dates — no one had to write them down

  3. 3

    Status Report Generator

    Admin Reduction

    Drafts weekly status report from meeting data — manager reviews in 3 minutes instead of writing for 45

  4. 4

    Follow-Up Reminder Bot

    Admin Reduction

    Sends follow-up messages to 6 team members on overdue commitments — automatically, with context

  5. 5

    Recurring Task Automator

    Admin Reduction

    Identifies the weekly reporting cycle as automatable and proposes a permanent workflow

3–6 hours of manual admin work eliminated — every week, automatically.

Stop leaking data. Start compounding intelligence.

See How Finance Teams Use SigmaEra

  • Runs air-gapped inside your own boundary
  • Full audit trail on every interaction
  • 100 agents, one control plane