Document generation
Reports, briefs, contracts, decks — on demand from your data.
What we do · Somebody has to run it —
Custom AI built to fit the business — not software, not a catalog.
The shape varies per client. Some need autonomous agents running in the background. Some need assistants for specific team members. Most need both. What stays consistent is the cycle: discover where AI belongs, build what fits, operate it as a managed service. We build on Claude by default; ChatGPT and other providers when a client’s stack or use-case calls for it.
Your team is already using AI. The question is whether it’s running inside a managed service or running as shadow sprawl. Below is what we build when the answer becomes “managed.”
Provider posture
Claude is our default. Not the only thing we run.
We have found Claude best-suited for most businesses we work with. We support ChatGPT, OpenAI’s models, and other providers when a client’s stack or use-case calls for it — but we recommend Claude unless there is a specific reason not to.
Three modes of delivery
Secure team AI. Custom agents. Custom builds.
Connected, secure AI for the team
Connected, secure AI for the team
We provision Claude (or the provider you already use) across the organization, tune what each role can do, wire it into the tools the team already works in, and hold ownership of the tenant so policy and access are actually enforced. One auditable AI layer, not sixty shadow tools.
What the team AI layer covers
- Owner-level tenant administration on Claude Enterprise or Team
- Per-person skill provisioning, scoped to the actual work each role does
- Integration management — email, calendar, CRM, internal data
- Branded experience inside Claude that matches your firm
- Day-to-day operation: tuning, retiring, and adding skills as the team evolves
Custom agents in operation
Custom agents in operation
Background agents running on scheduled cadences for the specific work your business has. Named agents, known cadences, monitored outputs. Built per client, shaped by what discovery surfaced — not a fixed menu.
Examples we've shipped or shaped
- Sales follow-up agents that close the loop after every meeting
- Inbox triage agents that pre-sort and pre-draft replies
- Daily executive briefs assembled from across your stack
- Pipeline-health monitors that flag deals losing temperature
- Voice agents that handle inbound and outbound calls for clients and internal teams
- Custom industry-specific workflows nobody else will build for you
Custom AI builds and integrations
Custom AI builds and integrations
If it can be done with AI, we can build it. Document generation, research agents over your own sources, voice systems, data surfaces where the CRM doesn't fit, BI dashboards queryable in natural language, image and document processing at operational volume. Shaped per business. Not a catalog.
Capability surface
- Document generation — reports, briefs, contracts, decks
- Research agents — web, knowledge base, structured sources
- Voice and phone workflows — inbound and outbound
- CRM-shaped data surfaces where the CRM doesn't fit
- BI dashboards queryable in natural language
- Image and document processing at operational volume
Most clients run all three modes in one engagement. Some start with the team AI layer and expand into agents. Some engage us for a targeted custom build and add the team layer once they see the leverage. The mix is part of what discovery figures out.
Both shapes amplify the team. Neither replaces it. That’s a design constraint, not a marketing line — it lives in your contract as the Workforce Protection Clause.
Inside the builds
Capabilities used inside our builds.
These are inside our builds, not a menu of services. We name them because the question comes up; we structure engagements around outcomes, not capabilities.
Every engagement is shaped to multiply the capacity of the team already on the payroll — never to reduce it. See /ethics for the Workforce Protection Clause and the full commitment.
Voice and phone workflows
Voice agents that handle inbound and outbound calls in your brand voice.
CRM-shaped data surfaces
Where your existing CRM doesn't fit, agent-readable data layers do.
BI dashboards
Natural-language queries across the data you already have.
Image and document processing
OCR, classification, extraction at the volume your operation actually moves.
Research
Agentic research over the web, your knowledge base, and structured sources.
Most of what gets called “AI strategy” is a euphemism for headcount reduction — we are deliberately, structurally not that.
The refusals
What we do not sell.
Differentiation is as much about what we refuse as what we ship. Each line below is a standing policy — not a negotiating position.
We do not sell automation of low-wage roles.
Top-down only. We start at executive leverage and never automate the front desk. Amplifying executives multiplies humans; automating $15/hr roles displaces them. Most of what gets called “AI strategy” is a euphemism for headcount reduction; we are deliberately, structurally not that. We refuse the displacement engagement even when it would pay.
We do not sell a catalog of products by the shelf.
There is no menu of pre-baked services to choose from. The shape of every engagement is determined by what discovery surfaces in your specific business. The three modes we deliver in — secure team AI, custom agents, custom builds — are how we work, not what you choose between.
We do not sell vendor neutrality theater.
Claude is our default. We have found it best-suited for most businesses we work with. We will support ChatGPT or other providers when a client's stack or use-case calls for it — but we recommend Claude unless there is a specific reason not to.
• Map first, build second
Ready to map what fits your business?
Discovery is where every engagement starts — a free 30-minute intro, then a custom-quoted deep-dive with agent-driven analysis to surface where AI belongs in your org. The shape of the build comes out of what we find.