Paid Pilot Engagements
This is the formal, priced version of a real trial run, a scoped, fixed-fee pilot for one specific automation or AI workflow, tested against a success metric you sign off on before any work starts. It exists for teams who've been burned by open-ended AI vendor conversations that never produce a straight answer, and who want a contained, honest test of whether AI actually moves a number that matters to them. Because it's paid rather than a free discovery call, the pilot gets real engineering time against your actual data and systems, not a canned demo. At the end you get a plain-numbers readout of what happened and a clear decision point (scale it, adjust it, or walk away) with no obligation to sign anything further.
This is a capability we deliver for you as a service, not a role we’re hiring for.
How We’d Approach This
A clear, staged plan, not a black box
These are the service-specific steps inside our six-step process.
- 1
Diagnose the single highest-value workflow worth testing and lock a success metric and fixed fee in writing before work starts
- 2
Build the pilot against your real data and systems, scoped tightly enough to finish inside the agreed time box
- 3
Run the pilot live or in shadow mode long enough to generate an honest read on the agreed metric, not a cherry-picked snapshot
- 4
Review the results together in plain numbers and hand over a clear go/no-go recommendation for scaling into a retainer
What You Get
Deliverables from this engagement
- A working pilot system built and tested against your real data for one specific workflow
- A written success-metric agreement signed before work began
- A plain-numbers pilot results report with a go/no-go recommendation
- A fixed, capped invoice with no auto-enrollment into further work
Six Ways We Could Architect This
Different engagement, different build, pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Read all 6 architectures as text
Lean Fast-Start Architecture
Scoping
- Client Diagnosis Call
- Highest Value Workflow Identified
- Success Metric Locked in Writing
Pilot Build
- Fixed Fee Agreement Signed
- Pilot Built Against Real Data
Pilot Run
- Live or Shadow Mode Run
- Metric Data Collected
Readout
- Plain Numbers Results Review
- Go No Go Recommendation
- Capped Invoice Issued
- Decision to Scale or Walk Away
- Handoff to Retainer if Scaling
Cloud-Native / Managed Services Architecture
Managed Pilot Workspace
- Shared Project Tracker
- Cloud Sandbox Environment
- Client Data Connection
Pilot Build Layer
- Managed Workflow Automation Tool
- Pilot System Deployed in Sandbox
Metric Tracking Layer
- Managed Metric Dashboard
- Automated Data Collection
Review Layer
- Shared Results Dashboard
- Stakeholder Review Session
- Go No Go Decision Logged
- Sandbox Teardown or Promotion
- Managed Backup of Pilot Artifacts
Event-Driven & Automation-First Architecture
Triggers
- Pilot Kickoff Event
- Automated Status Workflow Started
- Milestone Date Reached
- Auto Status Update Sent
Automation Layer
- Metric Tracking Pipeline Auto Updates
- Milestone Target Met
Alert Gate
- Risk Alert to Project Lead
- Progress Confirmed
Automated Reporting
- Corrective Action Logged
- Auto Generated Readout Draft
- Final Readout Sent to Client
- Go No Go Meeting Scheduled
Enterprise-Grade & Compliance-Ready Architecture
Governance Layer
- Signed Scope of Work
- Data Handling Compliance Review
- Access Control for Pilot Duration
Secure Pilot Layer
- Access Controlled Client Systems
- Redundant Data Backup During Pilot
- Isolated Sandbox Environment
Auditable Pilot Run
- Every Pilot Activity Logged
- Metric Collection Audit Trail
- Secure Sandbox Teardown
Compliance Output
- Compliance Sign Off
- Certified Pilot Results Report
- Data Deletion Confirmation
AI-Augmented, Human-in-the-Loop Architecture
Diagnosis Input
- Client Systems and Process Data
- AI Workflow Value Diagnosis
AI Diagnosis Layer
- AI Drafted Highest Value Workflow
- AI Drafted Success Metric Proposal
- Stakeholder Sign Off Needed
Human in the Loop
- Client Stakeholder Review Session
- Metric and Scope Approved
- Scope Revision Requested
- Human Approved Pilot Scope
Delivery
- AI Built Pilot System
- Human Review of Pilot Output
- Go No Go Decision Delivered
Integration-Heavy / Ecosystem-Connected Architecture
Client Systems
- Client CRM
- Client ERP
- Existing Ticketing System
Pilot Core
- Live Data Connection Layer
- Pilot Workflow Engine
- Two Way Data Flow During Pilot
Two Way Sync Layer
- Client System Updates Back
- Pilot Issue Tickets Logged
- Client Operations Team
- Support Escalation Path
Handoff Layer
- Joint Scaling Decision
- Handoff to Retainer Tooling
More in Managed AI Support & Retainers
- Tiered Monthly Retainers (Core/Growth/Enterprise)
Ongoing monitoring, tuning, and support packages sized to how many AI systems a client is running.
- SLA-Backed Incident Support
Defined, honest response-time commitments (for example same-day response for critical issues) for AI systems running in production.
- Monthly Performance & Optimization Reporting
A recurring one-page report showing what changed, what improved, and what's next.
- Continuous Model & Prompt Refresh Cycles
Scheduled reviews that catch model drift, provider changes, and stale prompts before they hurt quality.
Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start, scoped small enough to prove itself before you commit to anything bigger.
Talk to us about Paid Pilot EngagementsMost engagements like this start as a $500–$2,500 pilot, see full pricing.