For HR, management, and strategy consulting firms whose advantage is data-driven insight, we build private AI systems that automate client reporting, data analysis, and project management. Engagements typically $15K–$35K, 4-8 weeks to ship.
Consulting firms compete on the quality of insight they can produce from privileged engagement data. Putting that data through a public LLM means the insight pipeline is shared with whoever runs the model — including, in some configurations, indirectly with future model versions trained on your queries.
Client data covered by NDA going through third-party AI infrastructure rarely matches what your engagement letter actually permits.
Public LLMs produce generic consulting outputs because they're trained on the average. Your firm's edge gets averaged away.
You can't tune a public model to your firm's frameworks. You're using the same tool as your competitors.
Every engagement begins with a conversation about your specific bottleneck — but these are the patterns we see most often in consulting firms. Each is a fixed-scope, fixed-fee engagement, typically 4-8 weeks.
Private AI that processes anonymized employee data to surface hiring patterns, retention drivers, and skill-gap signals. Saves ~15 hours/week per consultant on data prep.
AI agent that turns raw engagement data into branded, formatted client decks following your firm's template. Increased deliverable throughput by ~25% in our reference engagement, with consistent quality.
Reads project history and current pipeline to forecast resource needs, completion dates, and margin. Reduces planning time ~30% and catches scope drift earlier.
30-minute call to understand the specific workflow you want to automate. We tell you whether AI is the right answer — sometimes it isn't, and we say so.
Engagement letter with fixed scope, fixed fee, fixed timeline. No hourly billing, no scope creep, no surprises. Typical range $15K–$35K depending on complexity.
System runs in your infrastructure, on your data, behind your access controls. We hand off documentation, training, and a runbook for your team to maintain it.
30-minute call, no pitch. We'll tell you honestly whether what you're describing is a good fit for a fixed-scope AI engagement — or whether you're better off with a different solution entirely.
