Clarium Intelligence

The LLM is not the product. The intelligence layer is.

Clarium owns the intelligence layer — the business context, reasoning, orchestration, governance, integrations, and agents that transform AI from a model into enterprise work.

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The Intelligence Layer

Where AI becomes enterprise work

Foundation models are powerful, general and interchangeable. On their own they know nothing about your business, your rules or your systems. The value sits in the layer between the model and the work — and that is the layer we build, operate and govern.

Enterprise workMeetings, reconciliations, forecasts, approvals, reports
Clarium Intelligence
Business contextYour terminology, chart of accounts, policies and history.
ReasoningModels applied to the decision at hand, with sources shown.
OrchestrationMulti-step processes run end to end, not single prompts.
GovernanceAudit trails, approvals and evaluation on every model call.
IntegrationsConnected to the systems, files and clouds you already run.
AgentsPurpose-built agents that perform the work, not just chat.
Foundation modelsInterchangeable — chosen per task, deployed in your cloud
01

Trusted Intelligence

Understands the enterprise and operates within its rules.

02

Real Work

Doesn't just answer questions; it performs and orchestrates business processes.

03

Human Control

People retain authority over decisions, approvals, exceptions, and actions that matter.

Agents at work

Two agents. One intelligence layer.

Each agent takes on a different kind of work. Both run on the same layer of context, governance and human control.

Agent 01

Meeting Agent

AI meeting minutes that never leave your firm.

Works on

Live meetings in Teams, Zoom, Meet or a meeting room

Delivers

Formal minutes with decisions and owned action items, in Word

Built for

Consulting firms, law firms, and accounting and tax practices

People decide

An unclear owner or date is flagged for you, never guessed

See how it works ↓
Agent 02

Finance Agent

From bank statement to cash decision, with every number traceable.

Works on

Bank and card statements, AR and AP aging exports

Delivers

Reconciled transactions, a weekly forecast and a daily cash position

Built for

Finance teams managing cash across several entities

People decide

The system suggests; nothing moves money on its own

See how it works ↓
Agent 01

Meeting Agent

AI meeting minutes that never leave your firm.

Meeting Agent records on your computer, names every speaker and writes formal minutes, with decisions and action items. All of it runs inside your firm’s own AWS account.

Stays in your cloud

Recordings, transcripts and minutes never reach Clarium or a vendor.

Never trains AI

Claude on Amazon Bedrock does not learn from your meetings.

No bot in the call

Works with Teams, Zoom, Meet or a meeting room.

Product tour · 1:28 · fictional data

How it works

  1. 1

    Record

    Press Start. Any meeting app, or the whole room on one laptop.

  2. 2

    Transcribe

    Live, as people talk. Every speaker named, on a server in your AWS account.

  3. 3

    Minutes

    After the meeting: decisions, action items with owners and dates, in Word.

  • Every decision and action item links to the moment it was said
  • Flags an unclear owner or date instead of guessing
  • Word export of minutes and transcript, with your logo
  • Templates for recurring meetings
  • Mac and Windows

Built for consulting firms, law firms, and accounting and tax practices.

Book a demo
Agent 02

Finance Agent

From bank statement to cash decision, with every number traceable.

AI-assisted finance workflows that read statements, reconcile and classify transactions, and forecast cash across entities. The model reads documents and proposes; code computes every number; a person approves.

Product tour · 1:28 · demo data
  1. 1

    The model reads

    Parses statements and exports, and proposes a classification for each row.

  2. 2

    Code computes

    Every total, balance and forecast is calculated in code, never by the model.

  3. 3

    A person approves

    Reviewers confirm or correct, and every decision is recorded.

Three workflows

Reconciliation

Bank and card statements in PDF or CSV are parsed, checked against their declared totals and classified to your own chart of accounts. Every row keeps its source page, so a reviewer sees exactly where each figure came from.

  • Rules first, model second, person last
  • Confirmed answers become rules, so the model handles less every month
  • Rows that fail validation are quarantined, never dropped

Cash forecasting

A weekly forecast built from AR and AP aging exports, reserves, lines of credit and intercompany funding — frozen once published, so this week’s plan can always be compared with what happened.

  • Week, four-week and monthly views
  • What-if projections explained by the assistant
  • Published forecasts are kept, never overwritten

Daily cash flow

A daily position with a safe-to-spend headline for each entity, coverage tiers, and funding suggestions between entities when one runs short.

  • The system suggests; a person decides
  • Nothing moves money on its own
  • Revisions require a reason and are logged
  • Every approval records who, when, and by which rule or model version
  • Every model call is logged and evaluated for accuracy and hallucination
  • The assistant explains numbers; it never calculates or changes them
Book a demo
Engagement

How we bring intelligence into your workflows

  1. 1

    Assess

    Map the workflows where AI removes real effort, and the rules it must respect.

  2. 2

    Pilot

    Run an agent on your own data, in your own cloud, alongside the current process.

  3. 3

    Integrate

    Connect it to your systems and approval paths, with people in control.

  4. 4

    Govern

    Measure accuracy, log every model call, and keep improving with evidence.

Further reading

From Clarium Insights

Put intelligence to work in your enterprise

Tell us about the workflow you want to change. We’ll show you what an agent can do with it.