EvaNeT / services

Start with the work. Build what helps.

Start narrow, prove practical value, and move toward production only when the workflow, owner, and review points are clear.

Engagement brief

A decision at every stage.

01
DiagnosePick one workflow, interview the people who touch it, and map the current tools, handoffs, exceptions, and risks.
02
PrototypeBuild a small working version with real examples, constrained permissions, and visible human checkpoints.
03
DeployConnect the workflow to the right systems, document ownership, train users, and launch with a rollback path.
04
OperateReview outputs, tune prompts and automations, track exceptions, and keep improving the workflow after launch.

Offer ladder

Choose the smallest engagement that answers the real question.

01 / Service

AI Workflow Audit

Map one operational workflow, identify where AI can help, and separate useful automation from risky shortcuts.

Best fit

Best when your team knows AI should help but does not yet know which workflow is worth building first.

Typical deliverables
  • Current-state workflow map
  • Tool and data-source inventory
  • Risk and approval-point review
  • Recommended pilot scope
02 / Service

Pilot Sprint

Build one working AI-assisted workflow with real inputs, human review, and a clear launch decision.

Best fit

Best when one workflow is painful enough to prove value quickly.

Typical deliverables
  • Working internal pilot
  • Prompt and tool configuration
  • Review and escalation steps
  • Launch-readiness notes
03 / Service

Production Implementation

Connect the workflow to your tools, permissions, staff process, reporting, and operating rhythm.

Best fit

Best when a pilot is useful and needs to become dependable team infrastructure.

Typical deliverables
  • Integrations and handoffs
  • Role-aware access patterns
  • Monitoring and exception handling
  • Team training and runbook
04 / Service

Managed AI Ops

Maintain prompts, automations, evaluations, and workflow improvements after launch.

Best fit

Best when the workflow is live and needs ongoing ownership instead of one-time setup.

Typical deliverables
  • Regular workflow review
  • Prompt and eval updates
  • Automation tuning
  • Issue triage and reporting

Delivery process

Four steps. Four visible decisions.

Each phase produces something the team can review before proceeding.

01

Diagnose

Pick one workflow, interview the people who touch it, and map the current tools, handoffs, exceptions, and risks.

02

Prototype

Build a small working version with real examples, constrained permissions, and visible human checkpoints.

03

Deploy

Connect the workflow to the right systems, document ownership, train users, and launch with a rollback path.

04

Operate

Review outputs, tune prompts and automations, track exceptions, and keep improving the workflow after launch.

Built with boundaries

A pilot should be explainable and reversible.

Human approval for consequential action

AI can prepare, route, summarize, and draft. People stay responsible for decisions that change records, send messages, spend money, or affect customers.

Permission-aware implementation

Workflows are designed around who can see, approve, edit, and export information instead of assuming one shared admin view.

Auditable operating record

We preserve the context behind recommendations, handoffs, approvals, and exceptions so teams can explain what happened.

Clear launch boundaries

Pilots launch with explicit scope, known failure modes, and a path to pause or roll back if the workflow behaves unexpectedly.

Scope before price

Pick one workflow worth improving.

The first conversation identifies the systems it touches, the risk involved, and the smallest useful audit or pilot.

See what an audit delivers
Start a conversation
AI Workflow Services | EvaNeT