Solution · Deploying AI agents

Deploy AI agents your procurement team can actually trust.

Most procurement AI fails for one reason: the data underneath isn't ready. Mithra gives agents a clean, governed foundation, keeps a human in the loop, and makes every decision explainable.

Plan your deployment See the product
Agent readiness

Before agents can act, the data has to be ready

  • Governed spend foundationClassified, normalized, and enriched, not raw exports.
  • Human-in-the-loop reviewAgents propose, your team validates and approves.
  • Evidence on every outputReason codes and confidence behind each decision.
  • Audit trail end to endEvery agent action logged and traceable.
Why most procurement AI stalls

Agents are only as good as the data beneath them.

Pilots demo well, then stall in production. The agent hallucinates on miscoded spend, can't reconcile duplicate suppliers, and produces numbers nobody can verify, so the team stops trusting it.

What a trustworthy deployment needs

Four things every procurement AI deployment needs.

A governed foundation

Clean, classified, normalized spend, so agents reason over reality, not noise.

A human in the loop

Agents propose; your buyers validate. Confidence decides what's auto-applied versus queued.

Explainability

Every classification and opportunity ships with a reason code and the evidence behind it.

Governance & audit

SSO, role-based access, regional hosting, and a full audit trail on every agent action.

A deployment path that sticks

From first sample to agents in production.

1
Foundation

Build the data layer

Hand over a representative spend sample. Mithra classifies, normalizes, and governs it, no integration project required.

2
Pilot

Run agents on one scope

Point the agents at one category or business unit. Your team reviews outputs against internal context.

3
Validate

Prove accuracy & trust

Measure coverage, accuracy, and confidence. Tune thresholds for what's auto-applied versus human-reviewed.

4
Scale

Roll out with controls

Extend across categories, entities, and ERPs, with governance, audit, and continuous tuning in place.

How Mithra delivers

Agents that sit on a foundation you control.

Mithra's Data Foundation Agents build the governed layer; Atlas and the Opportunity Agents act on it. Because everything traces back to your data, the outputs are auditable by design.

  • Customer-specific, not shared modelsAgents learn your taxonomy and supplier base, not a generic one.
  • Confidence-gated automationHigh-confidence work auto-applies; the rest is queued for review.
  • Outputs that improve with useEvery human decision tunes the models further.
Explore the platform
Auto Categorization
Auto-applied€ 0M
Queued for review€ 0M
Spend lineCategorySpend
Stainless fastenersBossard · auto-applied at 96% Uncategorized, MRO · Fasteners96% confidence €2.4M
Specialist consultancyAmbiguous, sent to human review Uncategorized, Prof. Services61% · review €1.1M
Freight & customsResolved from 3 supplier variants Uncategorized, Logistics · Freight94% confidence €0.9M
Confidence-gated: high-confidence lines auto-applied, the rest queued for a human, every decision logged.
FAQ

Deploying AI agents, answered.

No. Cleaning the data is the first thing Mithra does. You hand over a representative sample as-is, and the Data Foundation Agents classify, normalize, and enrich it into the governed layer the other agents run on.
Every output carries a confidence score and a reason code. You set the threshold: high-confidence work is auto-applied, everything below it is queued for a human to validate. Nothing is published without that control in place.
Yes. Every agent action is logged with its evidence and the human decision attached, so you can trace any classification, supplier merge, or opportunity back to the data and the approval behind it.
Most teams see classified spend within days of sharing a sample, run a scoped pilot in weeks, and scale once accuracy and confidence are validated, no multi-quarter integration program required.

Deploy AI agents on a foundation you can trust.

Bring a representative sample of your spend, and we'll show you the governed data layer and the agents running on it, on your own data, in weeks.

Plan your deployment See the platform