Operations rebuilt around what AI actually does well.
We map the parts of your business that are still being done by hand because nobody had the time to redesign them — and we redesign them. The result is a team that ships more, faster, with the same headcount.
Five places AI pays back fast.
Each of these has a clear measurable outcome. We don't ship pilots that go nowhere.
Workflow audits + opportunity maps
Where AI helps, where it doesn't, and what to build first. We map your team's actual day, identify the highest-ROI plays, and rank them by effort.
Custom Claude / GPT integrations
Embedded assistants for your team, your customers, or your product. Real implementations with retrieval, evals, and guardrails — not a chatbot stapled on.
Document processing
Quotes, contracts, invoices, applications, intake forms — extracted and structured in seconds, not hours. We've shipped this against energy bills, audit reports, and contract PDFs.
AI-assisted reporting + analytics
Natural-language queries over your data. Reports that write themselves and arrive in inboxes on schedule. Your operators stop being report-builders and start being decision-makers.
Team training + prompt libraries
Your team is the bottleneck after the tools are deployed. We train your operators, build prompt libraries tuned to your workflows, and run office hours until it sticks.
- Operators whose team is buried in repetitive document or data work
- Companies that bought ChatGPT seats and aren't sure what to do next
- Teams that want a real implementation, not a course
- Founders building AI-native into the product, not bolted on
We map workflows and rank opportunities by ROI. One document, real numbers.
We ship the integrations and tools. Real evals, not vibes.
Your team learns to operate and extend what we built. Office hours until it sticks.
Things people ask.
What models do you use?
Mostly Claude and GPT-4-class. We pick based on the use case — Claude for nuanced reasoning and long-context work, GPT for breadth, Gemini where it fits, open-source models where data sensitivity demands it.
Is our data safe?
We design around your data policies. Options range from enterprise plans on Anthropic / OpenAI that exclude data from training, to fully on-prem deployments behind your VPC. We'll match the architecture to your compliance posture.
Will this replace people?
We've never had a client cut headcount because of an AI integration. Several have used the freed capacity to grow without hiring. The realistic story is leverage, not replacement.
How is this different from buying ChatGPT seats?
Generic tools don't know your data, your workflows, your tone of voice, or your customers. We build systems that do — embedded in the surfaces where work actually happens.
What does an engagement cost?
Audit: $5–10K, 1–2 weeks. Build: $15–80K depending on scope, 2–8 weeks. Training and ongoing support: monthly retainer. We share concrete pricing after the audit.