AI agents, built and governed in your real systems.
Agentic automation for the systems your business runs on. ERP like SAP and Oracle, CRM like Salesforce, data platforms like Snowflake, or QuickBooks for the SMB stack. Every integration gets the right connection, clear controls, and evidence of what it did.
Five-day discovery sprint, $5,000 flat — scoped to your workflow, credited toward what comes next.
How a governed write reaches the ERP
Four steps between an agent's proposal and a change in your system of record.
01 Propose
The agent proposes a change. It does not write.
02 Policy check
A policy gate checks the proposal before anything is sent.
03 Approve or block
Above a threshold, an approval step decides. A block is recorded.
04 Write and read back
Through the application's own API and rules, never a direct database write. The result is read back.
Dated run · 2026-07-31 3 writes persisted, each re-read to confirm; 2 rejected: vendor on hold; closed purchase order.
Real Snowflake sandbox tenant, synthetic data; the write ran through a stored procedure, not an ERP application. Not a client system. See the run record and the 32-second explainer.
Where to start
Three starting routes, chosen by your situation, with prices published up front. The Fit Check credits in full toward the Sprint, and the Sprint toward whichever engagement follows.
The AI Fit Check
$1,500 · One day · fully remote
Start with a 20-minute intro conversation — not a paid reservation. When a decision needs qualifying, the Fit Check returns a written go / no-go call, the constraints, and a proposed next scope.
Start with the AI Fit Check →The Discovery Sprint
$5,000 · Five days · scoped to your systems
A working prototype on a read-only sandbox or scoped sample data shaped like your systems, plus a delivery plan — the $1,500 Fit Check credits in full if you started there.
Book the Discovery Sprint →Standing Watch Assessment
$15–35K · 3–4 weeks · scoped to your estate
Reconciles the agent inventory you already have, then adds cross-platform behavioral verification, a spend baseline across platforms, and a findings ledger you keep — with owners and practical remediation priorities.
See the Standing Watch ladder →Not sure which route fits? Take the free write-path exposure check — five minutes, runs in your browser. Or browse all sixteen engagements across automation, ERP, and governance.
Start here for finance leaders
Two ways to begin, then four paths. All sixteen engagements stay on the full services page.
The AI Fit Check
$1,500 · one day · fully remote
A short paid qualification: a written go / no-go on one workflow, the constraints, and a proposed next step.
Start with the Fit CheckWrite-path diagnostic
Scoped on request
A read-only look at one agent-to-ERP write path: what it can change, what stops it, and what record it leaves. No write access, no production changes.
Ask about a diagnostic- AP and payments write pathAgents that approve, release or change payments and vendor records.
- Close and reconciliationAgent-assisted close and matching work, with an audit trail a controller can read.
- Financial-services governanceAn agent inventory, tiers of autonomy and evidence for a regulated firm.
- EU and ISO readinessWhat the EU AI Act and ISO 42001 ask of the agents you already run.
The integration problem
Enterprise AI projects stall because generic consultants build demos that can't connect to real systems. Your ERP, CRM and HRIS are locked behind custom APIs, legacy auth and security layers that require deep enterprise expertise to navigate.
The Tioga difference
I build MCP-native AI systems that speak your enterprise stack's language from day one. Your pilot runs on your real data, in your real environment — so the path to production is already built by the time I present results.
What this looks like in practice
Two examples, one smaller-business and one enterprise — same evidence tier.
A real QuickBooks bill-approval flow: a bill is checked against vendor status and duplicate-bill history, routed by spend tier, and the outcome — and the reasoning behind it — is recorded. Run it yourself →
A real Oracle Fusion Cloud ERP AP-exception flow: an exception is raised, checked against policy, routed for approval, and the outcome — and the reasoning behind it — is recorded. Run it yourself →
“See it running, not a slide about it. The demos below are a mix of live Claude model calls on the file or text you provide, browser simulations, and dated operational excerpts — the same models and evidence built into every Tioga AI engagement. Each demo page discloses its own evidence type and how far it goes.”
Not ready to try the demos? Free ERP Agent-Readiness Checklist →Try It Right Now
No signup — try model-powered tools and inspect real operational evidence. Each card below states its own operating mode.
Invoice Processing
Upload a PDF. Get structured vendor, amount and line-item data in under 5 seconds.
Try it live →Email Triage
Paste any email. AI classifies urgency, routes to the right team, drafts a response.
Try it live →Fusion AI-Readiness Assessment
Get a sample Oracle Fusion Cloud ERP AI-agent-readiness assessment in 60 seconds.
Try it live →Standing Watch
Real, dated findings from Tioga's own governance automations — what was found, reviewed, and fixed by hand. Propose-only by design: nothing here writes to live config on its own.
Try it live →See how I govern my own AI
The Governance Ledger is real operational data from Tioga's own AI routing gateway, mapped to NIST AI RMF — not a mockup. Every call logged, costed, and attributed as a byproduct of routing, not bolted on.
View the full ledger →Systems my demos and connector examples are built around
Built against demo and test instances, not live client systems.
Fuller engagements, priced up front
Once the first step is done — or if you already know what you need. Each delivers a concrete, reviewable output in weeks, not quarters.
Pricing published up front, not gated behind a sales call. The $5,000 Discovery Sprint is credited toward whichever engagement you move forward with.
AI Operations Assessment
Find the workflows AI can take off your plate
2–3 weeks. Map manual workflows across finance, HR, procurement, and operations. Rank automation opportunities by ROI and feasibility. Concrete plan in your hands.
$10–15K
Scope an assessmentAI Governance Readiness Assessment
Get audit-ready before regulators or customers ask
3–4 weeks. NIST AI RMF, ISO 42001, EU AI Act, and US state law gap analysis with a prioritized remediation roadmap. Sample executive summary included.
$20–35K
Check my readinessAI Agent Pilot
Build one working agent against your highest-value workflow
4–8 weeks. Production-ready agent. Governance built in from day one. Working pilot you can extend or hand off.
$25–50K
Plan a pilotPlus thirteen more engagements across two practices — modernizing ERP with an agent layer, and governing enterprise AI end to end. See all services →
See what you actually get:
What working with Tioga AI looks like
Not a generic AI consultancy. One founder who specializes in one thing: getting AI into production inside complex enterprise environments.
Built by someone who has run finance, HR, and procurement operations from the inside for decades, including at enterprise scale on Oracle EBS and SAP. Every demo on this site, including the Governance Ledger above, is code the founder wrote and infrastructure the founder runs. No outsourced build, no slide deck.
Speed to value
My 5-day discovery sprint gives you a working prototype and a delivery plan before most firms finish scoping.
Enterprise-grade security
Security controls — role-based access, audit logging, and architecture aligned to SOC 2 Trust Services Criteria — so your systems of record stay under your control. No independent SOC 2 report exists yet.
Integration-first approach
I build for your stack from day one. No rip-and-replace. Your existing systems become more powerful.
No toy demos
Pilots are built to integrate with your real systems, with access scope and acceptance gates agreed up front — built to carry into production, not thrown away after the demo.
MCP-native builds
I specialize in Model Context Protocol — the emerging standard for connecting AI to enterprise systems at scale.
Measurable ROI
I define success metrics up front. You see ROI calculations in the pilot, not after a 6-month engagement.
My Process
From first conversation to production deployment — with no ambiguity about what happens next.
Discovery Sprint →
5 days · $5,000 flatI map your systems, identify the highest-ROI AI opportunities and define a clear scope with your team. You get a working prototype and a detailed delivery plan — before any large commitment.
System audit · Use-case prioritization · Prototype · Delivery plan
Pilot Build
4–8 weeks · scope-dependentI build a working pilot integrated with your real systems, with acceptance gates agreed up front. No toy demos — you see exactly what the full system will do.
Full integration · Real data · Stakeholder review · Go/no-go decision
Deploy & Scale
OngoingFull production deployment with monitoring, agreed support terms, ongoing retainers and continuous improvement as your AI needs grow. I stay a partner, not a vendor.
Production deploy · Monitoring · Support terms · Continuous improvement
Frequently asked
The questions that come up most before booking a call.
What does it cost?
The Discovery Sprint is $5,000 flat, credited in full toward whatever engagement it recommends. If you're not sure yet whether you have a real use case, the AI Fit Check is $1,500, one day, fully remote — and that $1,500 credits forward too.
What access do you need?
Read-only, scoped, time-boxed sandbox access, provisioned before day one. The prototype never touches production and is never given write access to a real system.
Who owns what comes out of it?
You keep every deliverable from the five days, on a go, redirect, or no-go. There's no obligation to continue.
What support do I get?
I personally review and respond to everything — no ticket queue. As a pre-launch, principal-led practice there's no formal uptime SLA published yet; that's disclosed on the Trust page, not hidden.
Not sure this is a fit yet?
Start with the AI Fit Check instead of the Discovery Sprint — one day, $1,500, fully remote, no system access required, built specifically to answer that question first.
Do you only work with large enterprises?
No. Company size isn't the qualifier. The question is whether you have a real system of record that an AI agent would need to read from, write to, or influence — and whether that can be connected and controlled safely. That might be QuickBooks, NetSuite, Salesforce, Oracle Fusion Cloud ERP, Oracle EBS, SAP, or something else. Fit depends on the actual workflow, the access involved, and the controls it needs — not the size of the company asking.