Services
We Build AI Systems You Own
From infrastructure to agents to the solutions that deliver business impact—complete platforms deployed in your cloud and handed over entirely.
The theorem.agency Approach
We're not a body shop billing hours until budget runs out. We're not a SaaS vendor creating dependencies. We build production-grade AI platforms, transfer complete ownership, and measure success by whether you need us anymore.
Every engagement follows the same philosophy: open-source foundations, rigorous engineering, and full handover. You get source code, infrastructure templates, documentation, and the training to operate independently.
8-12 weeks from discovery to production.
Not 18-month roadmaps. Not endless discovery phases. Working AI agents solving real problems.
Core Capabilities
Comprehensive AI platform development, from infrastructure to handover
Production-ready infrastructure deployed in your cloud: Kubernetes orchestration, Terraform configurations, API layers, vector storage, and observability—all built on open-source components you control.
Custom agents using LangChain, CrewAI, or AutoGen—with the orchestration logic, tool integration, and reliability engineering that production demands. Multi-agent coordination when workflows require it.
Version-controlled prompt libraries with evaluation frameworks, safety guardrails, and systematic testing. Your prompts get the same rigor as your code: review processes, regression testing, and documentation.
Access controls, audit logging, quality gates, and incident response—practical governance that lets your AI initiatives ship rather than stall in security review. Built for regulated industries.
Architecture walkthroughs, prompt development training, operational runbooks, and hiring guidance. Your team learns to operate, optimize, and extend the platform independently.
AI Solutions
Production-ready applications that deliver business impact
AI agents that handle 30-50% of support tickets without human intervention—not by deflecting customers, but by actually solving problems. Access to your knowledge base, customer history, and resolution workflows.
AI agents that generate first-draft proposals, surface competitive intelligence, and recommend relevant content—built on your deals, your positioning, and your content library. Reps spend time selling instead of researching.
AI agents that process documents, route approvals, generate reports, and coordinate workflows—following your business rules while exercising judgment on edge cases. Handle the 80% that follows patterns.
AI systems that respond to questions from your organizational knowledge—policies, products, processes, institutional wisdom—with citations and appropriate uncertainty. Employees get answers in seconds.
AI assistants for code review, documentation, and operations—trained on your conventions, your architecture, and your systems. Suggestions that match your standards without heavy editing.
How Engagements Work
Every project follows a structured process designed to deliver working systems—not slide decks.
Discovery & Design (2-3 weeks)
We understand your use cases, map integration requirements, and define success metrics. You approve architecture and prompt strategy before we build.
Build & Engineer (6-10 weeks)
Infrastructure deployment, agent development, and deep prompt engineering. We iterate until your systems meet quality gates—not generic benchmarks.
Harden & Hand Over (2-4 weeks)
Security hardening, evaluation frameworks, documentation, and training. Your team is equipped to operate independently.
Optional Advisory (Ongoing)
Monthly or quarterly optimization cycles when you want them. Prompt testing, failure analysis, capability expansion. No lock-in—available when useful, terminable anytime.
What Makes Us Different
| Big Consultancies | theorem.agency | SaaS AI Tools |
|---|---|---|
| Push proprietary accelerators | 100% open-source stack | Vendor lock-in |
| Optimize for billable hours | Fixed-scope, outcome-focused | Limited customization |
| Incomplete handover | Complete ownership transfer | Data residency concerns |
| Prompts as afterthought | Prompt engineering as core competency | Opaque, unmodifiable prompts |
Common Questions
What's the difference between capabilities and solutions?
Core capabilities are the technical services we provide (platform, agents, prompts, governance, training). Solutions are the business applications we build using those capabilities (support copilots, sales AI, etc.). Most engagements combine both.
Can we start with one solution and expand later?
Yes—that's typically how engagements work. Start with the highest-impact opportunity, prove value, then expand. The underlying platform supports multiple solutions without rebuilding infrastructure.
How do these integrate with our existing systems?
We build custom integrations using MCP and standard APIs. Salesforce, Zendesk, Confluence, Slack, your internal systems—whatever your workflows require.
What's the ongoing cost after deployment?
You pay for compute (in your cloud) and model API calls (to your provider accounts). No licensing fees to us. We offer optional advisory retainers, but you're never required to continue the relationship.
What You Get
Complete source code ownership
All code in your repository
Open-source foundation
No vendor lock-in
8-12 weeks to production
Fast delivery
Documentation and training
Your team enabled
Deployment in your cloud
Complete infrastructure ownership
Optional ongoing advisory
Available when needed
Let's Talk About Your AI Initiative
We'll discuss your use cases, assess your current state, and outline what's achievable in 8-12 weeks—no commitment required.