Unclear authority
The workflow looks promising, but nobody has named what AI is allowed to read, draft, recommend, execute, or never touch.
Verified AI operations for real-world workflows.
Verdify helps teams put AI agents into operational workflows without giving up control. Verified AI means the agent's role, approval points, authoritative systems, telemetry, and scorecard are clear before the workflow expands.
Verdify method
Map the workflow
Define controls and approval points
Build one narrow path
Verify with telemetry and scorecards
Operate, review, and improve
See the public proof lab
A real greenhouse where an AI agent plans, control layers constrain writes, firmware controls physical action, and telemetry verifies what happened.
The problem
AI pilots are easy. Verified operations are not.
A model can draft, summarize, classify, or call a tool. The harder work is deciding what it may do, where approval is required, how exceptions are handled, and what evidence verifies the workflow improved.
Weak approvals
Human review exists in theory, but exceptions, escalation, rollback, and ownership are unclear.
Missing telemetry
Teams cannot tell what happened, which source material was used, or whether AI changed the outcome.
No scorecard
Leadership wants impact, but the team lacks operational metrics and a review cadence.
Quiet failure
The risk is not that AI does nothing. The risk is that it quietly does the wrong thing.
The advantage
Action limits, approvals, telemetry, scorecards.
Verdify helps teams move from 'Can AI automate this?' to 'Can we verify how this workflow works?' We map the workflow, define what the AI agent may do, preserve human and system authority, instrument the process, and build a scorecard that supports expand, tune, hold, or stop decisions.
Workflow examples
Start with repeated, reviewable work.
Good first candidates include support triage, procurement response packets, quality documentation, field-service exceptions, retailer claims, regulated review, and telemetry synthesis.
Support ticket triage
Route, classify, and draft escalation prep without auto-closing or sending unapproved customer replies.
Procurement response packets
Assemble approved answers and evidence while security, legal, and executive owners approve anything buyer-facing.
Telemetry synthesis
Summarize signals, alerts, and operating hypotheses without bypassing control layers or human approval.
Live from Verdify Lab
The AI agent plans. Control layers constrain writes. Firmware controls. Telemetry verifies.
Verdify Lab is the public proof environment behind the consulting method. It shows the same operating pattern Verdify brings to client workflows: The AI agent plans. Control layers constrain writes. Firmware controls. Telemetry verifies. Scorecards and lessons close the loop.
Offer ladder
Audit first. Build narrowly. Verify before scale.
Verdify engagements move from workflow selection to controlled implementation to verified operations without pretending a prototype is production.
Audit
Verified AI Operations Audit
Know where AI belongs, what it can safely do, and what to build first.
Sprint
Controlled AI MVP Sprint
Implement one high-value workflow with approvals, logging, exception handling, and acceptance criteria.
Scorecard
AI Operations Scorecard
Define KPIs, evaluation rubrics, review cadence, and executive evidence.
Operate
AgentOps Retainer
Monitor, tune, review incidents, report outcomes, and expand only when evidence supports it.
Industries
Common examples, not hard limits.
Verdify is a fit when teams have repeated operational workflows, real consequences if AI gets it wrong, and enough evidence to measure whether the work improved.
Software and AI-native
Support triage, incident review prep, product feedback classification, customer escalation routing, and internal knowledge workflows.
Life sciences and medtech
Document-heavy workflows where AI can assemble, summarize, and propose while required review stays intact.
Outdoor, natural products, and CPG
Retailer compliance, chargebacks, claims support, returns, and customer exceptions without brand or claims risk.
Cleantech and energy software
Telemetry-heavy operations, asset monitoring, field-service triage, implementation status, and control-layer workflows.
Aerospace and advanced manufacturing
Review cycles, supplier documents, engineering changes, service records, and QA documentation where traceability matters.
CEA / agritech proof lab
A public proof pattern for measured feedback loops near physical systems.
Trust posture
Verified AI is not blind automation.
Restraint is part of the product. The safest AI project is often the one with the clearest action limits.
We do not recommend AI take irreversible actions without explicit controls.
We do not replace systems of record with model output.
We do not ship unmeasured agents into critical workflows.
We do not make impact claims without evidence.
We do not treat governance as a PDF afterthought.
Next step