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Autonomous AI · Enterprise work and decisions

Ask the business question. AthenaMind reasons across your enterprise and acts on the answer.

AthenaMind reasons across your systems, external signals, and unstructured data to improve revenue and margins, reduce costs, and turn decisions into action.

Book a demo See Decision Ledger
What it does

From intent to plan to work. In days, not quarters.

AthenaMind models your business: revenue levers, operational constraints, financial outcomes, causal assumptions, and more.

01Reason Chief Executive Officer

How do we grow by 10% next year?

  • Analyze data, constraints, assumptions and drivers enterprise-wide.
  • Evaluate multiple paths and rank options by evidence and confidence.
  • Show why each option could work and what could change the outcome.
  • Recommend a path forward that moves directly into planning.
02Plan Chief Operating Officer

If we pursue these growth options, what has to change operationally?

  • Model capacity, inventory, suppliers, lead times and constraints.
  • Simulate alternative paths and trade-offs before committing resources.
  • Build a coordinated plan across teams, systems and dependencies.
  • See which assumptions must hold, and where to intervene.
03Automate VP of Engineering

Execute the plan and tell me when something changes.

  • Coordinate actions across ERP, CRM, supply chain and finance.
  • Trigger workflows, assign actions and bring humans in for approval.
  • Continuously monitor the assumptions, constraints and signals.
  • When conditions change, re-reason, re-plan and act on what comes next.
Case study Northstar Bikes found a way to increase revenue by 10% Read it →
Evidence

Every decision audited, down to the single record.

Click any output or intermediate step to jump straight to its source record and validate every claim.

“How do we grow 10% next year?” Illustrative Ref. 88213 · 00:00:41
01 Reading historical revenue by product, region and channel obs-1042
02 Reviewing plant reference data and production capacity obs-1188
03 Hannover e-bike line running at 87% utilization, peaking at 91% in Q4 obs-2277
04 Testing four lever combinations across 10,000 scenarios —
05 Validating the price elasticity prior against the 2024 move obs-3401
Ranked portfolio

Everyone expected e-bikes to come first. It ranks third. Hannover is already at 87% utilization, and two other options deliver a higher return on less capital.

Why AthenaMind is different

Enterprise Intelligence Across Every System, File and Signal

Most platforms reason over data you have already collected. AthenaMind reads your systems, the documents nobody digitized, and the signals outside all of them.

Conventional AI and automation toolsAthenaMind
Reasoning that needs a data layer built first — a warehouse, a model, a migration, priced and staffed before the first answer.
Reads the systems you run today and builds the structure it needs as it goes. Nothing to migrate. Nothing to stand up first.
Integration platforms that need engineers to build, test and maintain every connection before anyone can ask a question.
Reads your systems in place rather than moving data between them. Your pipelines stay exactly as they are.
Generative answers that shift between runs. Ask the same question twice, get two numbers, and defend neither.
Seeded and back-tested. Identical inputs return an identical number, in March and again in September.
One-time reports that go stale the moment conditions change.
The assumptions behind an answer become live monitors. When one breaks, the decision reopens itself.
See the full stack
The AthenaMind platform

AthenaMind AI Platform Stack

The operating layer for enterprise reasoning, orchestration, and action.

Application Layer Decisions · Planning · Workflows · Recommendations
Workflow Layer Intent · Orchestration · Approval · Monitoring
Reasoning & Decision Layer Reasoning · Simulations · Optimization · Forecasting
Context Layer Ontology · Knowledge Graph · Semantic Search · Connectors
Enterprise Systems & Data Sources Systems of Record · Documents · Signals · Unstructured Data

Every layer writes to the Decision Ledger — the question, the inputs, the assumptions and the action, recorded as they happen.

Connectors

Connect to the enterprise without rebuilding the enterprise.

AthenaMind connects to any SaaS application you need. And to the systems that are hard to reach at all — on-premise ERPs, procurement suites, operational platforms, the ones with no documented API and no prebuilt integration. When the connector does not exist, an agent writes it.

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An agent writes it

Ask for a system we have never seen before, and the planner generates the endpoints, parameters, and connections within hours.

Your team deploys it

Automated integrations undergo rigorous build verification and sandbox testing, followed by explicit human review and governed approval.

Read in place. Write on purpose.

AthenaMind reads structured, semi-structured, and unstructured data where it already lives, and moves it only when an action calls for it.

Industries

Industry-specific answers. One unified platform.

Six shown. The full list, and a page for each, lives on Solutions.

Manufacturing & industrials

Quote an engineered order against real plant capacity. Know which line can build it, at what margin, and what it displaces — before you commit to a date.

Supply chain & logistics

A supplier slips. Reason across inventory, lead times and freight to find the plan that still lands, then start the work behind it.

Real estate

Ten thousand leads a year across six offices. Route each one on what actually closes, and keep the reasoning when an agent asks why.

Retail

A promotion lifts one line and quietly starves another. See what it costs the rest of the basket before you commit the markdown.

Finance & insurance

Reconcile exposure across systems that were never designed to agree, and show the working when somebody asks where the number came from.

Healthcare

Staffing, capacity and case mix move together. Plan against what actually walks in, and get told the day the assumption breaks.

Also distribution, consumer goods, life sciences, energy, telecoms, aerospace and professional services — and the functions that cut across all of them: procurement, planning, finance, HR, sales and operations.

Getting Started

Guided 30-Day Proof of Value.

Days 1–7

Scope the use case

We work with your team to identify the right use case for automation or decision intelligence.

Days 8–14

Prepare for evaluation

We develop the workflow in a sandbox or an isolated customer environment, along with synthetic data as needed.

Days 15–30

Benchmark and decide

Evaluate results, validate against KPIs, and plan production rollout.

You define the outcome.
We move forward only when it’s met.

Book a demo