SOLUTIONS THAT WORK
Enterprise engagement decision guide

This company delivers complex custom enterprise software when enterprise-grade quality and speed both matter. Experienced engineers use appropriate AI tools within the agreed delivery model. Agents and orchestration are choices based on the work.

AGENTIC AI AS A SERVICE — WE ENGINEER AND SUSTAIN
Choose this to commission and sustain a custom enterprise agentic system.
Scope architecture, orchestration, tool integrations, state, authorization, evaluation, observability, and recovery.
You retain business policy, technical governance, and defined approvals.
We agree human oversight, model consumption, operating boundaries, service responsibilities, hosting, IP, and exit terms.
Starting point: system requirements, integration landscape, consequential actions, and production obligations.

EMBEDDED SENIOR ENGINEERS — YOU LEAD
Choose this when you lead a complex software program and need senior AI or agentic engineering capability.
Your team retains product/program leadership and end-to-end outcome ownership.
Our engineers deliver their agreed work: architecture, implementation, integration, testing, evaluation, and reliability. They can collaborate using your approved AI coding tools and development practices; no separate agent platform or STW delivery engine is required.
We confirm skills, capacity, access, working arrangements, review responsibilities, and compute/tooling terms.
Starting point: system architecture, delivery plan, engineering gaps, and technical constraints.

OUTCOME-OWNED CUSTOM DELIVERY — WE EXECUTE
Choose this to assign accountability for an agreed custom software scope to STW.
We execute discovery, specification, implementation, verification, controlled release, and handoff.
You retain product trade-offs, domain decisions, acceptance, and production authority.
Client-owned source, architecture decisions, infrastructure, evidence, and operating artifacts support a testable handoff.
Starting point: a representative system increment, demanding acceptance criteria, technical owner, and approved access.
Initial delivery focus: AWS greenfield systems, Python APIs, JavaScript/TypeScript applications.

INVESTMENT AND GOVERNANCE QUESTIONS
- Which decisions require senior human judgment?
- What must be true for behavior, integration, access control, and recovery?
- How will agent actions be authorized, evaluated, monitored, and escalated?
- Which engineering roles and approved tools best support quality and speed?
- Where, if anywhere, do agents or orchestration improve the work?
- Which tool, model, and infrastructure costs apply?
- What are the commercial cap, consumption boundaries, and change rules?
- Who approves acceptance and production deployment?
- What evidence supports the release and continuation decisions?
- Who operates, extends, and takes ownership of the system?

Scope, responsibilities, and commercial terms are agreed before work begins. Evaluate accepted behavior, reliability, ownership, and delivery pace together.

10-day project loops provide a review cadence. Complex discovery, foundations, integrations, and verification may require broader programs. Schedules and commitments are agreed per engagement.