Services

We assess it. We build it. We run it.

Start anywhere. Most clients start with the free assessment; some hand us the whole pipeline. Every engagement has a named owner, a defined outcome, and someone who answers for it.

Assess

Know where you stand, and where AI fits.

Before anything gets built, two questions need honest answers: which capability gaps are worth closing with AI agents, and whether the AI you already run is safe to scale. Assessment engagements answer both.

Advisory for AI business operations

We map where your organization's ambitions outrun its headcount, identify which capabilities AI agents should own, and design the operating model around them — including where humans stay in the loop.

What you get: A prioritized capability plan with the business case for each gap worth closing.

AI governance policies & audit

We establish the controls that make agents safe to scale — identity and least privilege, containment, decision provenance, change control — and audit existing agent programs against recognized standards (NIST AI RMF, ISO/IEC 42001, OWASP).

What you get: A governance framework your auditors, insurers, and customers can stand behind — and a rated view of where you are today.
Build

A system built for your operation, not a demo.

Most AI projects die between the prototype and the production line. Build engagements exist to cross that gap: systems designed around your actual workflows, implemented with engineering rigor, on infrastructure that holds up.

Multi-agent system design & implementation

We architect systems of AI agents tailored to your operations — task decomposition, agent roles, handoffs, human checkpoints — then build and integrate them into your existing tools and processes.

What you get: A working multi-agent system doing real work in your environment, with testing gates behind it.

AI agent technical infrastructure

We stand up the runtime your agents live on: execution environments, integrations, per-agent identity and permissions, logging and telemetry plumbing.

What you get: Infrastructure your agents can be trusted on — scoped access, full traceability, no shared credentials.
Run

We operate what we build, and answer for it.

This is the part almost nobody offers and every agent program needs: someone who stays. Run engagements are retainer-based managed operations — your AI systems, operated as accountably as your payroll.

Maintain the AI tech stack

Model updates, integration changes, prompt and policy revisions, performance tuning — handled continuously, reviewed and versioned, without your team carrying the pager.

What you get: A system that stays current and keeps working as everything around it changes.

Monitor AI agent systems

Live observability across your agent fleet: what every agent is doing, how it's performing, where it's failing. Issues surfaced, contained, and remediated — with a named owner for every system.

What you get: You always know what your digital workforce is doing, and who answers when something's wrong.
In production

A Texas Ford dealership runs its web presence under SimpleWeb monitoring: 93 pages scanned continuously, 111 site issues surfaced and routed to remediation, and automated inventory monitoring across its vehicle listings — where the system has flagged thousands of listing-level issues that would otherwise sit invisible.

The pipeline is a loop

What we learn operating and monitoring your systems feeds the next round of advisory — your agent program gets more capable and better governed at the same time. The cheapest place to enter the loop is the assessment.