Cases you can watch end to end.
See an agent catch a fraudulent bank change, a duplicate payment or a hidden owner on synthetic documents, with every finding quoted and a person deciding.
Watch the agents workTurn one business workflow
into a working AI agent.
We design and build agentic AI systems on solid cloud and data foundations, with people approving the decisions that matter. Describe a problem from any field and get a proposed workflow to review: the specialist roles, the human checkpoints, and how a pilot would be measured.
Agents at workAll agents
- ProcureAISupplier AgentHeld a bank change from a lookalike domain · Halden Supply CoDemo data
- FinanceAIClose AgentIntercompany imbalance · entity 120 vs 220Demo data
- FinanceAIKYC AgentPEP screening hit · awaiting analyst clearanceDemo data
- ProcureAIInvoice AgentLinked hold to clause 4.2 · no amendment on fileDemo data
This site runs on
the systems we build.
The clearest evidence of how we work is working software. These run here, today, and you can use them.
A research pipeline with a human gate.
Ten stages find recent research, check sources, draft and review. Nothing publishes until a person approves it, and every source is kept for audit.
How the stages coordinateGuardrails that hold under real use.
Request quotas, daily spending budgets, duplicate-run protection and bounded provider calls keep the AI features predictable to operate.
Security & technical strategyWatch the agents work
Each agent reads the document, runs the checks you set, and stops for a person to decide. Illustrations on demo data.
ProcureAI
Invoice Agent
Three-way match on every line, with holds when price or quantity drifts from the PO and goods receipt.
- Reads the document
- Unit price and quantity vs PO and receipt within your tolerance
- You approve or hold
HoldPayment blocked pending buyer review
Procurement,
run by agents.
ProcureAI is Stellitron's live procurement product — six coordinated agents for intake, invoices, contracts, supplier risk, sourcing, and spend.
Upload a purchase order, contract, or invoice and watch Stellitron Intelligence walk the match: line items, tolerances, and the approval path your team would expect before money moves.
Start with a guided demo on synthetic data, or register for a short trial and run your own dummy document — or generate one from a plain-language brief.
Invoice matchIllustrative trace · not live telemetry
intake
Finance operations,
checked by agents.
FinanceAI is Stellitron's live finance product — agents for bank reconciliation, KYC onboarding, and month-end close, each with a visible decision trace.
Paste a bank statement, a KYC pack, or a trial balance. Rules run first; Stellitron Intelligence then explains each break or red flag and quotes the line it relies on.
Nothing posts on its own: journals, dispositions, and close sign-off wait for a person to approve them. Try the guided demo on synthetic data, or register and run a sample document of your own.
Bank reconciliationIllustrative trace · not live telemetry
intake
The animations show how each product explains a decision — not a recording of your systems. Live trials run on procurement.stellitron.com and finance.stellitron.com with registration; engineering engagements on this site still start from your brief and a scoped pilot.
The right thinking.
The right technology.
Useful agents need more than a model. We connect orchestration, data, infrastructure, and evaluation to the outcome your team needs.
Agents with a purpose.
Design agents around the work your team needs done. Coordinate reasoning, tools, and specialist roles with evaluation, explicit permissions, and human oversight.
Explore the capabilityInfrastructure that keeps up.
Give your product a foundation that is observable, maintainable, and designed for its actual workload. Make the tradeoffs around cost and scale explicit.
Explore the capabilityData with a direction.
Connect fragmented information and make it useful. Design pipelines and integrations that move the right data to the right place.
Explore the capabilityConfidence, built in.
Make security and ownership part of the architecture. Understand your risks, prioritize the work, and give your team a practical technical roadmap.
Explore the capabilityClear steps.
Shared momentum.
You should always know what we’re solving, why a decision was made, and what comes next.
Inside our approachUnderstand the real problem.
Start with the people, the workflow, and the business goal. Agree on what success means before choosing the technology.
Problem brief & success criteria
Make the path concrete.
Map the architecture, test the riskiest assumptions, and shape a scope that fits your constraints.
Architecture & delivery plan
Build. Learn. Refine.
Work in visible increments. Review functioning software together and use the feedback to guide the next decision.
Working software & validation
Put your team in control.
Make deployment, documentation, observability, and handover part of the work from the beginning.
Operational system & handover
Before you
get in touch.
The questions teams usually ask before a first conversation.
What does it cost?
Indicative bands start with a paid pilot from $15,000 for one workflow, then from $40,000 a year per agent module or from $120,000 for a full ProcureAI or FinanceAI suite — all in USD, excluding taxes. After a demo we send a written proposal sized to your volume, agents, deployment model and connectors. How we work with enterprises
What do we get from a first conversation?
A clear view of the problem, the constraints that matter, and a proposed next step. If you watch a case first, tell us which one is closest to your work, so the conversation starts from your specifics.
Do you need access to our systems or data to start?
No. Scoping works from your description, and the interactive samples use synthetic data. Access to real systems is designed during architecture, with explicit permissions agreed before anything connects.
Will the agents act on their own?
Only where you decide they should. We design human checkpoints for consequential actions, so people review and approve the decisions that carry real risk.
Our industry isn’t in your examples. Can you still help?
Yes. The examples illustrate the approach; they are not a boundary. Tell us about your workflow and we will show you how an agent would handle it.
What happens after a pilot works?
Deployment, documentation, observability and handover are part of the work from the start, so your team can run and extend the system without depending on us.
What’s taking shape
in an agentic world.
Explore research, business possibilities, and the work behind a useful pilot. Each story connects primary sources with a clearly labeled implementation proposal.
Explore all field notes12 field notes across industries. These examples don’t limit what we can explore together.
Inside agentic systems
The research behind planning, tools, and reliable execution.
Across industries2 min read
Before you build an agent team, define one good workflow.
A practical way to choose between fixed workflows, tool-using agents, and specialist teams—starting with a decision your business can actually verify.
2 primary sourcesScientific research2 min read
Research agents should make hypotheses easier to challenge.
What Co-Scientist and ChemCrow suggest about tool-assisted research, and a proposed evidence workflow that preserves uncertainty and expert review.
2 primary sourcesAcross industries3 min read
Running a pilot in your own cloud: exactly what IT has to do
Network paths, secrets, SSO, logging, data residency, and roll-back when ProcureAI or FinanceAI workers run in your account instead of a public trial.
2 primary sourcesBusiness workflows, reimagined
From a real operational question to a pilot you can measure.
Procurement2 min read
Procurement agents should build the evidence before the shortlist.
How to turn quotes, delivery constraints and approval policies into a traceable comparison—without letting a model invent the winning supplier.
1 primary sourceCommerce2 min read
Commerce agents have to respect inventory truth.
Why available stock, reserved units and location matter more than a convincing sales reply—and how to design an exception workflow around them.
1 primary sourceManufacturing2 min read
Manufacturing agents need machine context before machine control.
A read-only incident-assistance blueprint that joins equipment signals with manuals and maintenance history, while keeping control boundaries clear.
2 primary sourcesLogistics2 min read
Let a solver plan routes. Let an agent explain the exceptions.
A logistics blueprint that separates constraint solving from conversational coordination, so proposed plans remain feasible and inspectable.
1 primary sourceProcurement4 min read
Adding agents next to Coupa without re-platforming
Which Coupa objects to read first, where ProcureAI agents sit in the AP loop, what buyers see during a pilot, and how to scope read-only access before any write-back.
1 primary sourceProcurement3 min read
Read-only first: connecting agents to SAP S/4HANA
How to scope OData read access, stage sandbox mapping, run a batch pilot, and defer hold codes or invoice blocks until your AP organisation signs off.
2 primary sourcesWhen oversight matters
Explore systems where verification and human control come first.
Healthcare administration2 min read
A healthcare scheduling agent needs a state machine, not a promise.
A careful administrative blueprint for proposed appointments, resource checks and staff confirmation, grounded in the FHIR scheduling model.
1 primary sourceRobotics2 min read
From language to robot action: the boundary that matters.
What OpenVLA shows about learned robot policies, and why a first business pilot should separate task planning from physical execution.
2 primary sourcesHealthcare administration3 min read
Healthcare finance teams: agents that never touch the EHR
How hospital AP and shared services use ProcureAI on supplier invoices and POs today, what data stays out of clinical systems, and what a future clinical-adjacent agent would still refuse to do. HIPAA compliance is not offered by Stellitron today.
2 primary sourcesA GOOD PLACE TO START
Bring the ambition.
We’ll build the way forward.
Let’s talk about your project
A conversation about your goals, constraints, and next step.