Sprint
One bet. Proven with a working system. Not a deck.
Engagements
Small first step, honest second one.
Every service starts with a scoped entry engagement that ends in a working result and a clear go or no-go. No open-ended discovery phases.
How do engagements with extendfuture work?
Start with a scoped entry engagement matched to your problem: an audit, a pilot, a sprint or a roadmap. It ends with a working system or an honest recommendation, including not to build. From there, engagements continue as a dedicated build-and-scale team or as fully managed AI operations with SLAs.
Entry offers, by service
Agent Readiness Audit
Scoped audit. We map one workflow, score it for agent-fit, and give you the build plan with an honest go or no-go. Yours to keep, whoever builds it.
AI Employee Pilot
One role. Pick one role: research, reporting, scheduling, ops. We onboard an AI employee, run its probation, and hand you the performance numbers.
Prototype Sprint
Fixed scope. Your product bet as a working system on real data. You get the prototype, the eval numbers, and an honest read on what production takes.
Accuracy Gap Assessment
Scoped assessment. We measure where your AI actually fails, what it costs you, and design the human layer that closes the gap. Report plus loop design, yours to keep.
One Workflow, Automated
One workflow. Pick the workflow that hurts most. We automate it end to end with exception handling, and hand you the before-and-after numbers.
AI Opportunity Map
Fixed scope. Readiness assessment, scored use-case portfolio, and an execution roadmap grounded in reality. Useful whether or not we build a single line of it.
After the entry engagement
Build and scale
Dedicated team. A dedicated AI team that ships and hands over clean.
Operate
Managed service. Your AI workforce, run as a managed service with SLAs.
Not sure which entry point fits?
Describe the problem in one paragraph. We will name the engagement and the number it has to beat.