Build with Barion
BUILD SOMETHINGTHAT MUST WORK.
- Paths
- Four
- Starting point
- A real decision
- Not on offer
- Development hours
Self-selection
Is this a Barion problem?
Result
Answer honestly, including the ones you would rather skip
Nothing is submitted anywhere. This is here so you can decide before you write to us, not so we can score you.
Advisory only. Nothing is recorded or sent.
Four paths
Productised capabilities, not service lines
01
AI Product Engineering
Co-build a new intelligence product on Barion Core
- The problem
- You have a repeated, high-value decision and the domain knowledge to judge it, but no product that makes that judgement at scale.
- Typical output
- An operating product with a defined decision model, guardrails, an audit trail and a route to production.
- When it is not appropriate
- This is not staff augmentation, generic app development, a prototype for a pitch, a chat interface over your documents, or an unrestricted model integration.
Read the detail
02
Decision Intelligence Systems
Turn many signals into ranked, explainable options
- The problem
- Your data is already visible somewhere, but nobody can say which option is best right now, why, or what it risks.
- Typical output
- A system that presents ranked options with reasoning, risk framing and a clear human decision point.
- When it is not appropriate
- This is not a dashboard refresh, a forecasting model on its own, or a system that decides without an accountable owner.
Read the detail
03
Agentic Operations
Bounded agents that act inside your tools
- The problem
- Operational work is repetitive and well understood, but handing it to an unbounded model would be unacceptable.
- Typical output
- A workflow an agent can run inside defined boundaries, with approvals, logs and a named escalation owner.
- When it is not appropriate
- This is not appropriate where ownership is undefined, data is unreliable, actions are irreversible without approval, permissions are unbounded, or the process is not understood well enough to write down.
Read the detail
04
AI Governance & Observability
Make control and evidence part of the system
- The problem
- Something is already running, and nobody can answer what it received, what it concluded, which rules applied, or who approved the result.
- Typical output
- A control model you can inspect: boundaries written down, decisions logged, approvals recorded, drift monitored.
- When it is not appropriate
- This is not a policy document, an ethics statement, or a compliance certification. It is engineering.
Read the detail
Engagement
How the work actually runs
- 01
Decision and workflow discovery
We work out which decision or workflow is actually being improved, who owns it, and what a better outcome would look like.
- 02
Data and constraint assessment
What data exists, how reliable it is, what the system may never do, and where a human has to sign off.
- 03
Controlled pilot
A narrow version running against real data with guardrails in place, measured against the success criteria agreed up front.
- 04
Production validation
Running alongside the current process to compare behaviour and confirm the controls hold under real conditions.
- 05
Deployment
Integration into the tools where the decision is made, with permissions, approvals and audit in place.
- 06
Monitoring and improvement
Watching performance and drift, feeding outcomes back, and improving the system while it operates.
Boundaries
What Barion AI does not sell
- Development hours or staff augmentation
- Generic custom software delivery
- Chat interfaces layered over your documents
- Prototypes built to support a funding round
- Unrestricted model integrations
- AI strategy documents with no system at the end
Bring us a real problem
A decision that costs you money or time when it goes wrong, ideally one you already understand well. That is a far better starting point than a technology brief.