Which model should we use?

We default to the most capable Claude or GPT models for the task and balance quality, latency, and cost — and we keep it swappable.

How do you control AI costs?

Caching, routing to cheaper models where quality allows, and token budgets monitored in production.

Can you automate our proposals and scheduling?

Yes — proposal generation, scheduling, and client communication automated end to end.

How fast can we ship and how do you price it?

Scope and price are locked before code at the Blueprint stage, tied to deliverables — outcomes, not hours. Tightly-scoped builds typically ship in a 30–60 day window.

//Software Development × AI-Powered Software × Professional Services

AI-Powered Software for Professional Services

LLM-integrated applications, recommendation engines, computer vision, and AI features that ship inside real products. Engineered for professional services teams.

Professional Services teams don't need a generic vendor — they need ai-powered software built around how they actually operate. LLM-integrated applications, recommendation engines, computer vision, and AI features that ship inside real products. Agency tools, scheduling platforms, and proposal systems that automate operations so you can scale billable work.

01What's broken without us

You want AI features in your product, but bolting a chatbot on the side isn't a strategy. The hard part is integrating intelligence into the actual workflow. For professional services teams specifically, operations run on email and spreadsheets. Scheduling, proposals, and client comms eat non-billable hours, and scaling means hiring more admins.

02Our approach — the Forge Method, applied

01Blueprint how professional services teams actually use ai-powered software today, and lock scope, price, and the metric before code.
02Prototype the highest-value ai-powered software loop against real professional services data — not a generic demo.
03Forge a production-grade build on OpenAI, Claude, Vercel AI SDK, with CI/CD and observability from day one.
04Harden and hand off documented, ready for professional services teams to extend.

//Capabilities

LLM-integrated web applications
AI feature development
Chatbot & assistant integration
AI recommendation engines
Computer vision integration
AI-powered search in products
Predictive analytics features
GPT / Claude / Gemini integration
Agency & operations platforms
Scheduling & booking systems
Proposal & contract automation
Client portals & comms automation
AI copilots for delivery teams
Reporting & utilization dashboards

//Outcomes

What you can expect

billable hours

Automated

proposals & scheduling

In-product

not bolted on

Cost-aware

token budgets

//FAQ

Questions, answered straight

Agency tools, scheduling platforms, and proposal systems that automate operations so you can scale billable work. We bring ai-powered software depth to those exact systems rather than retrofitting a template.

//Explore further

//Next step

Is the build ready to scope?
Find out in the scorecard, or talk it through on a call.

Take the Build Readiness Scorecard