Support & retainers

Launch is the start, not the finish. Our retainers give you ongoing engineering coverage for SaaS products, AI systems, and workflow automation so fixes, improvements, monitoring, and change requests are handled by people who already understand the build.

Why retainers exist

Software changes the moment it goes live. APIs shift, users find edge cases, AI output quality moves, traffic patterns change, and priorities evolve. Without continuity, teams end up alternating between emergency fixes and long periods of neglect.

A good retainer gives you both capacity and context. The engineers supporting the system already understand the architecture, the workflow, and the history of what has broken before.

What we typically cover

  • Incident response: diagnosis, mitigation, and follow-up when something fails in production.
  • Quality protection: regression checks for prompts, workflows, integrations, and product features after changes.
  • Performance and cost management: monitoring for latency, usage, infrastructure overhead, and AI consumption.
  • Controlled change delivery: small enhancements, patches, release support, and rollback planning.
  • Improvement backlog: turning operational pain into a clear queue of fixes and upgrades.

Service levels (shaped together)

We shape response expectations around your real business risk and operating hours. That means practical severity levels, escalation paths, and coverage that works across time zones rather than inflated promises nobody can staff properly.

Operating rhythm: you vs us

Your operational role
Product or operational ownership, decision-making on customer-impacting changes, and a clear contact for production priorities.
Our client-facing rhythm
Regular reviews, visible ticket flow, transparent hours, and a balance between reactive support and proactive improvement.
Inside our team
Shared knowledge, review of incidents, and support that does not depend on one person being available forever.

Engagement mechanics

Retainers usually start with a short operational audit. We review the current system, identify monitoring gaps and operational risks, then propose a monthly support model with clear boundaries between maintenance, improvements, and new project work.

Who this suits

Retainers work well for teams that have launched something valuable and need continuity without hiring a full internal support function immediately. That includes founder-led products, internal platforms, and remote teams that need steady engineering context after launch.

Fit

Teams that want a steady engineering partner who can keep improving the system after launch instead of only reacting when things fail.

Friction we decline

Teams expecting unrealistic 24/7 coverage without the budget for it, or using support as a substitute for fixing serious foundational issues.

Retainers complement builds from SaaS development, agent systems, and workflow automation—they’re how capability survives handover.

Discuss a retainer

Concierge — jump straight in.

Full LLM concierge: see AI-DIVE-CONCIERGE.md