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KAIRAIS TECHAI · Systems · Research
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Engagement

Engagement models built for outcomes, not hours

You’re not buying “effort.” You’re buying a system that ships, behaves in production, and stays reliable over time. We align scope, risk, and measurable results so you can sign with confidence.

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Scope is explicit
We define assumptions, success metrics, and acceptance criteria up front so nobody is guessing what “done” means.
Quality is measurable
For systems and AI: evals, regressions, and monitoring so quality doesn’t quietly degrade after launch.
Operations are included
Dashboards, alerts, runbooks, rollbacks, and release safety are part of delivery. Not an optional add-on.
Discovery Sprint
1–2 weeks

Turn ambiguity into a plan you can ship and defend.

Best for
  • You need clarity on scope, risks, architecture, or feasibility
  • You want measurable success criteria before spending real money
  • You’re evaluating AI/RAG/agents and don’t want demo-trap decisions
Includes
  • Problem framing + success metrics + acceptance criteria
  • Architecture outline + risk register + milestone plan
  • Proof spikes for the risky bits (retrieval, latency, cost, safety, integrations)
  • Evaluation plan (baseline + regressions), when relevant
Outcome
  • A scoped build plan with options and tradeoffs
  • Clear risks surfaced early, with mitigation paths
  • Artifacts your team can execute with or without us
Best if you want a practical plan, not a sales call.
Talk to usGet a quote
Build & Ship
4–10+ weeks
Most selected

Production-grade delivery with measurable quality and go-live readiness.

Best for
  • New builds, major launches, rewrites, or system hardening
  • AI features that must behave reliably (not just look cool)
  • Teams that need engineering discipline, speed, and clear ownership
Includes
  • Implementation with tests, CI/CD, and release strategy
  • Observability: logs/metrics/traces + dashboards + actionable alerts
  • Eval harness + regression suite (especially for AI quality)
  • Security posture: boundaries, least privilege, safe defaults, audit trails
  • Go-live checklist + rollback plan + runbooks
Outcome
  • A deployable system with clear acceptance criteria met
  • Measurable quality and fewer production surprises
  • Operational maturity baked-in, not bolted-on later
If it can’t be measured and operated, it doesn’t ship.
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Retained Reliability
Monthly

Ongoing ownership: stabilize, improve, and prevent repeat incidents.

Best for
  • Production systems that need continuous improvement
  • AI/RAG systems that can drift in quality and cost over time
  • Teams that want steady velocity without re-onboarding every month
Includes
  • Monthly capacity + planning cadence + prioritized execution
  • Monitoring, alert tuning, incident discipline, prevention work
  • Performance + cost optimization with budgets/ceilings
  • Dependency/security hygiene + stability baselines
  • Weekly delivery notes (what shipped, what changed, what’s next)
Outcome
  • Lower MTTR, fewer incidents, better predictability
  • Controlled change without shipping regressions
  • Quality/cost kept in check over time
Support is reactive. Reliability engineering is prevention-first.
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Common add-ons

These are the usual “we should probably do this” items that save you later pain and expensive rework.

Security hardening + threat modeling (especially for AI/tool use)
Data governance: PII strategy, retention, access controls, auditability
Migration planning and execution (legacy → modern architecture)
Performance + cost optimization (inference, pipelines, infra)
Internal tooling: golden paths, templates, automation, developer experience
FAQ
Do you give fixed pricing?
We can do milestone-based fixed scope when the problem is well-defined. If risk is high (new data, unknown integrations, evolving requirements), we’ll propose scope options with clear tradeoffs and a de-risk phase first.
How do we avoid scope creep?
Written acceptance criteria, explicit assumptions, and change control. If the scope changes, you’ll see it in the plan before it becomes your problem.
What do you need from us to start?
A short problem statement, constraints (timeline, compliance, latency/cost targets), and access to the minimum technical context (existing architecture/docs, data samples, integration details). We keep it lean.
Can you work with our team (not replace them)?
Yes. The best engagements are collaborative: we ship the hard parts, leave behind clean artifacts, and help your team run it without dependency on us.
Want a plan with risks and scope options, not hand-wavy promises?
Send the problem statement + constraints. We’ll respond with a practical proposal and a delivery path.
Request proposal