Our methodology is built from 200+ enterprise Claude deployments — not consulting theory. Every phase has clear deliverables, defined timelines, and measurable outcomes. We know what works because we've measured it.
Each phase builds on the last. Each has defined deliverables. Nothing is left to chance.
We begin with a comprehensive workflow audit across every relevant department. Our consultants interview key stakeholders, map existing processes, and analyze where Claude's specific strengths — extended reasoning, document analysis, code generation, writing, and tool use — align with your highest-value work.
Every identified opportunity is scored on three dimensions: estimated ROI (using benchmarks from comparable deployments), implementation complexity (from simple prompt-and-deploy to full API integration), and risk level (regulatory exposure, PII handling, human-in-the-loop requirements). The result is a ranked roadmap of your top 20 opportunities — prioritized for maximum impact, minimum risk, fastest time to value.
In our experience across 200+ deployments, the top 3 opportunities identified in Phase 1 typically account for 70%+ of the total reachable ROI. We go broad to find them — then focus deep to capture them.
Phase 2 converts the opportunity roadmap into an investment decision. We build the financial model your CFO and board need to approve implementation budgets: total cost of ownership, expected productivity gains, headcount impact, and net ROI over 12, 24, and 36 months.
Our ROI models use real productivity benchmarks from comparable deployments — not vendor claims. For legal document review, we use measured data from law firm deployments. For engineering velocity, we use Claude Code deployment metrics from SaaS companies at your scale. For compliance automation, we use measured time-savings from regulated-industry deployments.
Phase 2 also defines the technical architecture: which Claude capabilities (API, Claude Code, MCP servers, Extended Thinking) will be used, how they integrate with your existing stack, and what governance framework will be required for your regulatory environment.
This is where Claude gets deployed. Our technical team works hands-on with your engineers, IT, and operations teams to build production-ready integrations. We don't hand you a playbook and leave — we build it with you.
For API deployments, we architect system prompts, tool configurations, and integration patterns that perform reliably at scale. For Claude Code engagements, we set up the developer environment, configure security policies, build the initial prompt library, and establish code review workflows. For MCP server deployments, we build custom connectors to your enterprise tools — Salesforce, ServiceNow, Jira, Slack, Google Drive, SharePoint, and 40+ others.
Prompt engineering is embedded throughout Phase 3. We don't leave prompt design to your team after the deployment — we build a tested, versioned enterprise prompt library during deployment, so adoption starts from day one with prompts that actually work.
Adoption doesn't happen by announcing a new tool. It requires role-specific training, internal champions, and a governance framework people actually understand. This is where most AI deployments fail — and where our training programme has the highest measured impact.
We deliver three training tiers: Executive briefings (half-day, strategic focus — what Claude can and can't do, governance implications, competitive landscape). Manager workshops (full-day, operational — how to manage Claude-augmented teams, output quality standards, accountability frameworks). Hands-on labs (half-day per department — role-specific workflows, prompt practice, live use cases).
The Claude Champions programme identifies 3–5 internal advocates per department who receive advanced training and become the ongoing support system after our engagement ends. In our deployments, adoption rates in teams with an active Champion are 40% higher than teams without.
The 90-day milestone is a measurement point, not an exit. At 90 days, we deliver a comprehensive ROI report: what was deployed, how many people are using it, what the measured productivity gains are, and what the expansion roadmap looks like.
Phase 5 is where the deployment proves itself. We instrument usage analytics to track adoption, identify under-utilized capabilities, and surface expansion opportunities. We refine the governance framework based on real usage patterns. We optimize the prompt library based on performance data.
For clients scaling enterprise-wide, Phase 5 builds the playbook for department-by-department expansion: a repeatable rollout model, a trained internal team, a governance framework that scales, and the metrics infrastructure to keep proving ROI as the deployment grows.
Most firms deploy AI broadly. We deploy Claude deeply. The difference shows up in the results.
Two weeks. Ranked opportunity roadmap. ROI model. No commitment required. This is how every engagement starts — and it delivers value whether or not you proceed further.
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