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Process Evaluation
A recurring workflow has visible friction, but priorities, ownership, or root causes are still disputed.
View packageManaged AI System Build
Turn a proven workflow into a governed AI-enabled system.
Build repeatable support for research, classification, drafting, routing, and decisions while keeping people responsible for the moments that require judgment.
What you get
A working system with controls, owners, and a path to operate it
The build covers the operating workflow around the AI—not only a prompt or model connection.
Production workflow
A defined intake-to-output flow with states, routing, review, and completion criteria tied to the business outcome.
Context and knowledge layer
Approved sources, retrieval rules, structured inputs, and context boundaries designed for the task.
Human review and escalation
Approval gates, exception queues, confidence or quality checks, and clear ownership for sensitive decisions.
System integrations
Connections to the CRM, documents, forms, communications, or operating tools needed to complete the workflow.
Evaluation and monitoring
Representative test cases, quality criteria, run visibility, failure alerts, and review signals for ongoing operation.
Runbook and managed handoff
Documentation, change controls, owner training, and an agreed support model for the system after launch.
Verified operating proof
Systems work measured in the real operation
Caribbean Pools · 2014–2025
Formstack automations were integrated into Jobber CRM to reduce manual paperwork and speed up operational turnaround.
- Paper use
- 80% lower
- Turnaround
- 70% faster
- CRM email open rate
- 45–60%
Package description
A managed build for workflows that are ready to become systems
Managed AI System Build is for a repeatable, valuable workflow with a clear owner and enough representative work to define quality. We shape the operating model, build the system, validate it against real scenarios, and establish the controls needed to run it responsibly.
The engagement is phased. A bounded first release proves the workflow and review model before broader access, more data sources, or additional automation is introduced.
Best fit
The workflow is understood, the desired output can be reviewed, and there is a named owner for quality and exceptions.
Delivery model
Discover and specify, build a bounded release, validate with representative cases, then stabilize and hand off or operate under an agreed managed plan.
Boundary
The system supports people and defined processes; it is not positioned as replacing staff or independently handling high-stakes professional judgment.
Compare packages
Choose by readiness, not by novelty
Use the view that answers the decision in front of you. Every package keeps scope, ownership, and boundaries explicit.
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Workflow Automation & CRM Integration
The workflow is repeatable, the handoffs are known, and disconnected tools or inconsistent records are the main constraint.
View package3
Managed AI System Build
The workflow is understood, the desired output can be reviewed, and there is a named owner for quality and exceptions.
View packageTechnical details
The model is one component of the operating system
Architecture is chosen after the outcome, review model, information boundaries, and reliability requirements are set.
Model and task routing
Fit-for-purpose model selection, structured outputs, prompt and schema versioning, fallbacks, and task-specific evaluation.
Retrieval and context
Approved knowledge sources, indexing or retrieval where useful, provenance, freshness rules, and protection against unintended context exposure.
Workflow and state
Durable orchestration, CRM or database state, idempotent actions, approval checkpoints, retries, and recoverable exceptions.
Security and observability
Access controls, secret management, data minimization, logs, cost and latency signals, quality monitoring, backups, and incident procedures.
Build around a workflow your team can define and review.
Bring us the process, the desired outcome, and the cases that show what good looks like.