Implement one governed AI workflow at a time.
This is the offer detail page for the current buying motion: one painful workflow, one owner, one measurable scorecard, and one governed pilot that proves whether broader AI implementation-system work is justified.
Software + workflow redesign + governed pilot rollout
The product is the AI workflow operating layer. The offer is the governed AI implementation system: map the current workflow, identify the AI-worthy step, validate it with route and eval proof, and hand back a repeatable rollout method.
Buy the Workflow Diagnostic at $3,500 fixed when the workflow still needs diagnosis. Buy the Governed Workflow Pilot starting at $15,000 when the workflow and owner are already clear.
Map the current workflow
What happens today, who touches it, which systems are involved, where the delays are, where human review matters, and what failure would cost.
Find the AI-worthy step
TPPC identifies what AI should draft, classify, summarize, or recommend, and what should remain under human approval.
Turn it into a governed AI workflow
We create the workflow logic, input/output contract, route policy, approval points, fallback path, and rollback path.
Validate before rollout
The workflow gets evals, route comparison, test datasets, and pass/fail release decisions before broader production use.
Operate it safely
The live workflow gets version control, promotion from staging to production, incident detection, rollback, and audit history.
AI implementation paths for teams updating legacy workflows
These are productized entry paths. The first commercial decision should be either a fixed diagnostic or a governed pilot, not an open-ended enterprise conversation.
Workflow Diagnostic
We map the current process, identify the AI-worthy step, and design the governed target state before you commit to implementation.
Teams with one obvious workflow bottleneck but no clear view of what should be automated, what should stay human, and what failure would cost.
- • Current-state workflow map: systems, handoffs, delays, and review points
- • AI-worthiness assessment: what AI should draft, classify, summarize, or recommend
- • Risk map: where human approval must stay in the loop
- • Target workflow blueprint with input/output contract
- • Pilot recommendation with exact success criteria
- • You know exactly which workflow to implement first
- • You avoid wasting time automating the wrong step
- • You leave with a scoped pilot instead of vague AI ambition
Governed Workflow Pilot
We take one legacy workflow, turn it into a structured AI workflow, validate it before rollout, and put it under governed approvals, rollout, and recovery.
Teams that already know which workflow matters and want one governed AI workflow in production without a broad rip-and-replace.
- • Workflow-specific task logic and AI instructions inside TPPC
- • Input/output contract and human approval checkpoints
- • Model routing strategy with fallback policy
- • Evaluation dataset, pass/fail rules, and route comparison
- • Promotion path from staging to production
- • Incident, escalation, and rollback rules
- • Operator handoff and pilot review
- • One AI-assisted workflow operating with measurable proof
- • Release decisions backed by evaluation instead of intuition
- • A concrete before/after story for speed, quality, and control
Governed AI Workflow System
We turn the first successful pilot into a reusable system your team can use to implement additional governed AI workflows with less risk and less reinvention.
Teams that need the pilot workflow plus the repeatable operating model, templates, and governance method for the next workflows.
- • Everything in the Governed Workflow Pilot
- • Reusable workflow templates by task family
- • Team approval model and release checklist
- • Route, eval, and incident reporting structure
- • Training for operators and workflow owners
- • Expansion plan for the next 2 to 3 workflows
- • You stop treating each workflow like a one-off AI project
- • The team gets a repeatable AI implementation method
- • TPPC becomes the governed operating layer instead of a side experiment
What these implementations actually look like
Support escalation workflow
- • Agent reads the ticket and old CRM history
- • Agent drafts the response manually
- • Manager reviews risky or complex cases
- • AI drafts the first structured escalation note
- • AI summarizes case history and policy-relevant context
- • Hard cases still go to a human with visible approval checkpoints
- • Workflow changes are evaluated and released with rollback protection
Internal reporting workflow
- • Analyst pulls data from old tools
- • Creates a recurring report manually
- • Manager rewrites the executive summary
- • AI turns raw material into a structured first draft
- • Reporting format is standardized and measurable
- • Outputs are checked against expected structure before rollout
- • The workflow is versioned and improved over time
Approval-heavy operations workflow
- • Staff collect inputs and write a status note
- • The note is reviewed, rewritten, and re-approved repeatedly
- • No one sees where AI could help without adding risk
- • AI creates the first structured recommendation
- • Humans approve or edit at the checkpoints that matter
- • TPPC governs release changes so drift is visible
- • If the workflow regresses, it gets flagged and can roll back safely
Who should not book the pilot call
- • Teams that want a broad AI strategy deck instead of one workflow fixed.
- • Teams that cannot name the workflow owner or success metric yet.
- • Teams looking for fully autonomous agents before agreeing on human boundaries.
- • Teams that want to discuss five workflows at once before proving one.
Before you fund an AI pilot, find the step worth implementing.
Run the free fit check first. If TPPC understands the workflow, the one-time $295 review returns the AI-worthy step, human boundary, risk gates, evidence plan, and rollout recommendation automatically.
No subscription or meeting required. If one missing fact could change the decision, TPPC asks one secure clarification and resumes automatically.
Most complete reviews are delivered as a secure report and executive PDF within 10 minutes.