Sprint
One bet. Proven with a working system. Not a deck.
How we work
Small first step, honest second one.
Most engagements start with a Proof Sprint: we take over one real workflow and run it on your real cases, then hand you the numbers. Working on your real cases in ten business days. Live under supervision in thirty. Proven on the numbers at sixty.
How do engagements with extendfuture work?
Most start with a Proof Sprint: we take over one real workflow, run it on your real cases, and hand you a scorecard of accuracy and cost per outcome with a clear go or no-go. From there it becomes a supervised production pilot, then a managed workflow we run for you, expanding to the next workflow only when the numbers justify it.
The offer ladder
In ten business days
Proof Sprint
We build a working system on one workflow, with your real cases, and you leave with a scorecard of accuracy and cost per outcome and a go or no-go. Low-risk internal workflows can go live under supervision inside the sprint.
In thirty
Supervised production pilot
The workflow runs in production under human supervision, on capped volume, measured every day until the numbers hold.
At sixty
Managed AI workflow
We run it for you: dashboards, SLAs, people on the exceptions and a monthly improvement loop. The next workflow comes only when the numbers justify it.
Another route
Build projects
When you need a full system shipped, we build in phases and ship weekly, with the same proof discipline behind every release.
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.
Managed Workflow Pilot
One role. Pick one role: research, reporting, scheduling, ops. We onboard the agents, run their 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, a review of your team and processes, where AI and manual-work costs can come down, a scored use-case portfolio, and a roadmap your team can run with. 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.
Forward deployed engineers
By the month. One or two engineers inside your tools, billed monthly with a notice period, and a written review of what shipped every month. Or a fixed term that bridges until your own FDE hire starts, then hands over.
Not sure which entry point fits?
Describe the problem in one paragraph. We will name the engagement and the number it has to beat.