From signed contract to a Claude or Microsoft 365 Copilot deployment your security team trusts and your operations team uses every day. Identity wired in, connectors and grounding locked down to least-privilege, custom skills or Copilot agents capturing your institutional knowledge, and an admin runbook your team can actually maintain.
We deploy both. Discovery determines which fits your stack, identity provider, and where the highest-leverage use cases sit. Engagement tiers are platform-agnostic — what changes is the configuration playbook, not the rigor or the runbook.
Some clients run both — Copilot for in-app productivity, Claude for cross-system knowledge work and bespoke skills. Discovery is where we agree on the shape.
AI Enablement is not a sixth F. It is a cross-cutting capability that depends on the layers below it. Without Fidelity (clean, governed data), AI hallucinates against your own systems. Without Flow (integrated applications), AI can't reach the data it needs. We deploy Claude only after we know your foundation supports it — or we install the missing layer first.
Either it's chaos — every employee using a personal Claude or ChatGPT account and pasting in client data — or it's frozen, because IT and legal can't approve a deployment without governance scaffolding nobody has built. Both states leave value on the table.
Employees signing up for personal Claude or ChatGPT accounts and pasting in client data, with no central governance.
Each user reinvents the same prompts. The company never compounds learning.
Security and legal block AI rollout because the data-handling and access controls aren't documented.
Either AI can't see real data, or it can see too much. Both fail.
An IT team runs a 90-day AI pilot and nothing reaches production because operationalization was never planned.
Corvell deploys Claude the way a Fortune 100 IT organization would — and we do it in weeks, not quarters, at mid-market pricing.
We measure ourselves on adoption and business outcomes, not on whether Claude is installed. Every engagement ends with the team trained, the runbooks documented, and a measurable usage baseline.
Built for $50M–$250M companies — PE-backed, VC-backed, founder-led, family-owned — preparing for scale, M&A, or a step-change in operating discipline.
All three tiers share the same operational rigor. Choose by where you are today: net-new to AI, ready to scale custom skills, or treating AI as an ongoing capability.
When the standard tiers don't fully cover the surface area, these modular add-ons extend the engagement.
A purpose-built skill capturing a specific workflow, document set, or domain — your sales conversation playbook, SOP library, or regulatory checklist.
A bespoke MCP server that lets Claude read from or write to a system without a stock connector — your proprietary database, a legacy ERP, or a domain-specific tool.
Internal AI usage policy, employee acceptable-use agreement, customer-facing data-handling disclosures, and a board-ready governance summary.
SOC 2, HIPAA, or industry-specific audit-prep workstream covering AI tooling controls, data handling, vendor management, and access reviews.
Discovery to stabilization in 6–10 weeks for Starter and Pro engagements. Every phase has a named owner and a deliverable you can hand off.
We deploy AI the way a Fortune 100 would govern it, at mid-market pricing and timelines.
We go deep on Anthropic Claude and Microsoft 365 Copilot. Discovery picks the right one for your stack — we're not platform-shopping for whichever pays us best this quarter.
You sign a scope, we deliver. No meter running, no scope-creep invoices.
You work with Ryan and Trevor on every engagement. No SDR funnel, no junior re-briefing. Same model as the 5 F's diagnostic.
AI Enablement is a capability, not a layer. It depends on Fidelity (clean data) and Flow (integrated systems) to be safe and useful. If those layers aren't in place, we'll tell you in Discovery and recommend the foundation work first.
Discovery. We look at where the work actually happens, what identity provider you use, what's in your Microsoft 365 estate, and where the highest-leverage use cases sit. Microsoft 365 Copilot wins when the day happens inside Word, Excel, Outlook, Teams, and SharePoint and Microsoft Entra is already enforced. Claude wins when you need long context, structured custom skills, MCP connectors across non-Microsoft systems, or institutional knowledge that compounds outside the M365 estate. Some clients run both — Copilot for in-app productivity, Claude for cross-system knowledge work.
We don't lead with them. ChatGPT Enterprise and Gemini for Workspace are both credible, but for mid-market deployments today, Claude and Microsoft 365 Copilot are where we go deepest — both because of how they handle enterprise data isolation, governance, and connector posture, and because they're the platforms most of our clients are already standardizing on. If your stack genuinely points at a different platform, we'll say so.
Both. Starter and Pro are one-time fixed-fee engagements. Managed is an ongoing monthly retainer. Many clients run Pro first and convert to Managed at month four.
Both Claude (Teams / Enterprise) and Microsoft 365 Copilot operate under contractual terms that exclude your prompts and data from model training. We design connectors with least-privilege scopes — MCP for Claude, Graph connectors and Copilot Studio actions for M365 Copilot — align with your sensitivity labels and DLP posture, document data-handling in your AI policy, and prepare procurement-ready language for your customers' security questionnaires.
Sometimes — through the Custom MCP Server add-on, or as a fractional CIO/CTO engagement under "Forward". For most mid-market companies, custom skills and stock connectors deliver 80% of the value at 20% of the cost. Start there.
That's the most common starting state. If Microsoft 365 Copilot is already in flight, we typically take it from there — formalize governance, build out the agents and grounded prompt library, and wire it into your real systems. If ChatGPT or Gemini is what's in use, Discovery decides whether to consolidate onto Claude, M365 Copilot, or run a transition. Whichever ends up the governed primary, we make sure the layer underneath actually supports it.
A 30-minute scoping call is the fastest way to know if we're a fit. You walk through your current state, we tell you which tier matches and what the timeline looks like. No proposal until we agree on scope.
