From discovery to deployed in 30 days.
Most AI projects die in committee. Ours ship because every engagement runs through DDDC — Diagnose, Design, Deploy, Compound. Fixed scope. Fixed price. Written deliverables per phase. Live system at the end of week four.
- 01. Diagnose
- 02. Design
- 03. Deploy
- 04. Compound
Diagnose
We start with a free 30-minute strategy call. If we both agree there's a fit, we move into the formal diagnosis week: stakeholder interviews, stack audit, ICP and data review, and a scored opportunity map. By end of week, you have a concrete answer to "where in our business does AI move the number, and how much?"
Deliverables
- 01Up to 15 stakeholder interviews
- 02Tech stack audit (current state)
- 038-dimension AI maturity scoring
- 04Opportunity map — 20–40 scored initiatives
- 05Honest "do nothing" recommendation when warranted
Sample artifacts
- Scored opportunity backlog
- AI maturity scorecard
Design
We design the specific system(s) we'll build first. Architecture diagrams, prompt templates, eval suite design, integration plan, ROI model with sensitivities, and a fixed-scope quote. You approve the design before we touch code. Fixed scope, fixed price, no scope-creep games.
Deliverables
- 01System architecture diagrams
- 02Prompt templates and eval design
- 03Integration map — tools, data flow, security
- 04ROI model with CFO-readable sensitivity table
- 05Fixed-scope statement of work
Sample artifacts
- Build spec (15–25 pages)
- ROI spreadsheet
- Signed SOW
Deploy
We build in your repo, your accounts, your stack. Daily commits and a shared Slack channel. We're live within 30 days from kickoff. Your team gets hands-on training in the last five days so they can extend the system without us when they want to.
Deliverables
- 01Production-ready system live in your stack
- 02Eval suite with 40+ golden examples
- 03Monitoring and alerting
- 04Documentation — architecture, runbook, troubleshooting
- 05Team training — 4–6 hours of working sessions
Sample artifacts
- Working system
- Runbook
- Training recordings
Compound
After launch, most clients move to a monthly retainer where we extend the system, layer in new agents and workflows, and swap models as the providers ship new capabilities. Quarterly we revisit the roadmap and retire dead workflows.
Deliverables
- 01Weekly system health report
- 02Monthly optimization sprint
- 03Quarterly roadmap review
- 04On-call coverage for production issues
- 05New initiatives layered as approved
Sample artifacts
- Weekly Slack digest
- Monthly retro
- Quarterly roadmap
What we actually hand over.
Most agencies show case studies. We show the artifacts that produce the case studies. Real deliverables from real engagements — anonymized where the NDA requires.
Let's build your AI system.
Book a free 30-minute strategy call. We'll map your highest-ROI AI opportunities and tell you whether Byte Dreams is the right fit — sometimes we aren't.
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