No surprises. No handoffs. Every phase has a clear owner and a clear output.

We audit your existing systems, identify which workflows benefit from an AI agent, and pinpoint where AI creates measurable impact — versus where deterministic code is the right answer. The output is a written assessment you own regardless of whether we proceed.

• —Understand your actual problem, not the feature list
• —Identify the real complexity — where estimates usually break
• —Tell you clearly if something is outside our scope

AI agents are state machines wrapped around LLM calls. We design the state machine, the failure modes, the human-in-the-loop checkpoints, and the integration surface — before any prompt is written. You receive the architecture document; build is contracted against it.

• —System design with explicit tradeoffs
• —Integration map — third parties, existing systems, data flows
• —Risk register: what could go wrong and how we prevent it

AI-accelerated development with senior oversight at every step. Working software ships weekly — you see real progress, not status updates. Scope changes flagged before work starts, not after.

• —Weekly working software, not just updates
• —Scope change protocol: flagged and agreed before work begins
• —Async-first communication — you hear about blockers immediately

Production deployment with monitoring, error tracking, CI/CD, and AI-specific guardrails — token budget alerts, model fallback chains, prompt regression tests. Launch day should be boring. If it is exciting, something went wrong in planning.

• —Production-grade deployment pipeline
• —Error monitoring and alerting configured
• —Runbook handed off — you know how to operate what we built

30 days of active support after every launch — covering monitoring, fixes, and the prompt regression / model deprecation work that AI agents specifically need. Your launch is the beginning of our accountability, not the end.

• —Active monitoring for the first 30 days
• —Bug fixes included — no change order for launch-window issues
• —Handoff documentation written for your team

Fixed scope, milestone-based delivery. Suitable for AI agent builds, MCP server projects, system overhauls, or major feature work. Architecture document produced before build starts.

Ongoing engineering capacity — architecture reviews, AI feature development, prompt and model maintenance, technical support. Fordel integrates with your existing team and process.

Technical strategy, AI readiness assessment, architecture review, model selection, build-vs-buy guidance. No code produced. Suitable for teams that need an outside senior perspective before committing to a direction.