The one thing every "AI for ERP" pitch skips: how the agent actually writes
Every AI-agent vendor can show you a read. Almost none can show you a write that a security review would actually pass — policy enforcement, approval gates, and a rollback path, not a direct database write with a prayer.
Who this is for
IT and security leaders who've been pitched AI-for-ERP demos that all quietly stop at read-only — and want to know how a write actually gets approved, logged, and rolled back.
What you get
A working, governed write path from your AI agent into your ERP — executing through the application's own logic layer, with a policy-enforcement gate, a full evidence trail, and a defined rejection/rollback flow.
Why this is real, not a pitch deck
A named engagement, not a hand-wave
The Agent-Ready ERP Diagnostic & Governed Write-Path is scoped specifically around one stalled write path in your environment — chosen because it's the constraint actually blocking you.
Built on real governance infrastructure
See the live Governance Ledger demo — real routing data mapped to NIST AI RMF, the same evidence-trail pattern this engagement builds around your write path.
Operator experience on both sides
Before founding Tioga AI, Sukir managed ERP systems across four sister companies — including the approval and control workflows a governed write has to respect.
Audit-grade evidence, not a screenshot
Every write produces a reviewable record — what was proposed, what policy check ran, who or what approved it, and what happened if it was rejected.
Engagements
Every engagement starts with a 5-day Discovery Sprint ($5,000 flat, prototype included) that scopes the work before any larger commitment — credited toward the price below if you move forward.
Agent-Ready ERP Diagnostic & Governed Write-Path
Assess one stalled agent-to-ERP write path, then build a governed version of it — executing through your application's own logic layer, with policy enforcement and an audit-grade evidence trail your control owners can actually clear.
$60–120K
~6 weeks
Questions
What does "governed write" mean technically?+
The agent never writes directly to the database. It executes through your application's own API/logic layer — the same path a human user's action would take — with a policy-enforcement check and logging before and after.
What if the agent gets it wrong?+
The write path is designed with an explicit rejection and rollback flow from day one, not added after an incident.
How is this different from just giving an agent API credentials?+
API credentials alone don't give you policy enforcement, an approval gate, or an audit trail scoped to what a control owner needs to see. This engagement builds all three around the write, not just the API call.
Can we see the audit trail this produces?+
Yes — see the live Governance Ledger demo for the pattern this is built on.