AI Consulting in Denver

We don't touch controlled technical data directly, and we're upfront about that from the first conversation. What we build for aerospace clients operates on the uncontrolled side of the house — BD pipeline tools, proposal coordination workflows, past performance libraries, subcontractor communication tracking. For anything that might brush against CUI, we scope the build so the AI layer only sees sanitized inputs: project codes, schedule data, public RFP references. If a client's program security officer needs to review the architecture before go-live, we support that process — we'll document every data flow, every API connection, and every storage touchpoint so their FSO or ISSO can make an informed call. We've never asked a client to route controlled data through a third-party model endpoint, and we won't. The build gets scoped around the constraint, not through it.

Yes, and it's one of the more tractable automation problems in the Denver market. Colorado's MED requirements — activity reporting, inventory reconciliation, labeling documentation, employee training records — generate a predictable, structured documentation load that maps well to automation. What we typically build: intake workflows that capture operational data (batch records, transfer manifests, waste logs) and assemble the required documentation in the correct MED format, plus deadline trackers that surface license renewals, compliance training windows, and inspection prep windows before they become emergencies. We don't replace your compliance officer or your plant-touching staff — those roles carry legal accountability that software can't absorb. What we remove is the clerical overhead: the hours spent reformatting spreadsheets into state-required templates, manually cross-referencing seed-to-sale data against physical counts, and chasing employee training certificates at renewal time.

Yes. Most Denver mid-market companies we work with are already on HubSpot or Salesforce, Slack, and some combination of Notion, Confluence, or Google Workspace. We build on top of what's there — we're not coming in to replace your CRM or your project management tool. The typical engagement starts with the $99 audit, which maps where data is actually flowing versus where it's supposed to flow. That surfaces the gaps: leads that enter HubSpot but never get sequenced because the routing rule broke six months ago, customer onboarding steps that live in someone's head rather than a repeatable workflow, internal documentation that exists but can't be found when someone needs it. We scope the build against the highest-leverage gap, wire it into your existing stack through official APIs, and hand over documentation your RevOps or engineering team can maintain. Two to four weeks, one thing done right.

It's actually a structural advantage for a lot of Denver clients. Mountain Time sits two hours behind East Coast and one hour ahead of Pacific, which means you have functional overlap with both coasts in a single working day — a window that New York or San Francisco teams don't get cleanly. For clients running distributed ops, that overlap matters when we're doing integration work that requires coordination across teams. On our end, we work asynchronously by default: scoped deliverables, written specs, documentation that travels. We don't require standing syncs to make progress. The async-first approach is also how we onboard distributed companies — the knowledge systems we build for internal use are designed around the reality that your team is in three time zones and the answer needs to be findable without waiting for Denver to wake up.

Pricing follows the same structure regardless of vertical: the $99 AI readiness audit is the entry point for any client who wants a clear picture of what to build before committing to a build. For aerospace BD teams, the audit typically surfaces proposal automation as the first candidate — and that build is scoped as a fixed-price engagement, usually in the two to four week range depending on complexity of the RFP templates and how structured the prior proposal library is. For cannabis operators, compliance documentation builds tend to be smaller in scope and faster to ship because the output format is well-defined by MED requirements — there's less ambiguity in the spec. The $497 Founder Review Call is available for any client who wants ninety minutes with the founder to pressure-test priorities before committing: you get a written prioritization memo ranking three to five automation candidates by estimated ROI, risk, and time to deploy. No junior consultants, no pitch deck, just the working session and the written output.