AI strategy grounded in workflows
Identify high-value use cases, data readiness gaps, integration needs, risk areas, and measurable production outcomes.
Datrick
Book intro
Datrick + Anthropic
Official Anthropic PartnerWe help teams move from Claude experimentation to production workflows with real system access, evaluation criteria, human review, and operating documentation.
Implementation approach
Identify high-value use cases, data readiness gaps, integration needs, risk areas, and measurable production outcomes.
Build assistants, automation steps, retrieval workflows, document intelligence, reporting copilots, and operational tools.
Train technical and business teams on Claude usage patterns, review workflows, prompt design, and safe operating practices.
Add guardrails, evaluation sets, access controls, logging, documentation, support cadence, and continuous improvement.
Claude services
Role-specific assistants for operations, analytics, customer success, finance, and technical teams, grounded in company documents and data context.
Claude workflows that summarize, classify, extract, compare, and route information from contracts, PDFs, emails, tickets, spreadsheets, and reports.
Natural-language interfaces for metrics, dashboards, KPI definitions, runbooks, and warehouse context with permission-aware retrieval.
Claude-powered steps inside CRM, helpdesk, email, Slack, spreadsheets, reporting, and service desk processes with human approval where needed.
Workshops and implementation support for codebase understanding, refactoring, tests, migration support, and delivery acceleration.
Prompt design, evaluation sets, access rules, logging, review steps, fallback behavior, and operating documentation for production use.
Production model
Deliverables
Current-state process, candidate automations, data dependencies, review points, and rollout priority.
A Claude workflow connected to approved context and designed around measurable output quality.
Test cases, quality rubric, failure examples, approval criteria, and improvement backlog.
Runbook, ownership model, access notes, monitoring expectations, and team enablement materials.
Engagements
Map use cases, data readiness, access needs, review steps, risk areas, and likely business value.
Output Opportunity map, roadmap, implementation recommendation.Build one working Claude workflow connected to real systems with review points and measurable outcomes.
Output Production-ready pilot, documentation, handoff plan.Roll out multiple workflows across reporting, support, migration, finance, or operations.
Output Multi-workflow deployment, governance, operating cadence.FAQ
Datrick focuses on workflow selection, data and document context, Claude assistant or automation design, evaluation criteria, human review points, operating documentation, and team enablement.
Yes, when access is scoped carefully. We define which sources are allowed, how retrieval should work, what permissions apply, and where sensitive outputs require human review.
Usually both, but scoped tightly. The first step is to choose a workflow that can become a useful pilot, then define the access, evaluation, and rollout path needed to make it production-ready.
We use approved context, retrieval boundaries, evaluation examples, review workflows, logging, fallback behavior, and operating documentation. Sensitive outputs should not bypass human approval.
Related resources
A practical model for selecting a first workflow with clear value, context, evaluation, and review.
How engineering and data teams can use Claude Code for codebase understanding, tests, refactoring, and migration support.
Claude implementation
Start with a scoped assessment or pilot: workflow map, approved context, evaluation criteria, human review, and operating documentation.
Contact
Send the workflow, reporting process, migration need, or internal assistant idea you want to explore. We will respond with the information needed to scope it.