Forward-deployed solvers · futurify.ai
Our forward-deployed solvers work inside your environment: they fix the process, put AI into production on real volume, and prove it against a baseline you co-signed, with the outcome guaranteed.
The pair in the room
Every deployment runs on a pair, embedded together onsite, backed by one engine across eleven countries and the agent coworkers that stay on your account.
Owns what's next. Ranks what each process could produce, locks the baseline with your CFO, drives adoption on the floor, and builds the enterprise agenda from the first process onward: which processes, in what order, worth what.
Builds the agents, integrations, and redesigned workflows into your stack. Works onsite through the unglamorous truth of deployment: data access, governance, security, performance. Ships working software every Friday, never a deck.
The ownership arc
Capability transfers as the work proceeds: your engineers build alongside ours, your teams run what is live, and the organization gets stronger with every process. We co-build from day one and hand over deliberately, so what you keep is real. Then we keep going, because there is always a next process worth more than the last, and our cost stays a function of the value on the record.
The right process into production, fast. We map the work, lock the baseline both sides sign, fix the process, and ship the system on real volume in weeks. Value is real before anything scales.
The agenda executes. The next processes come off the sequenced list, your engineers co-build inside the squad, your operators run what is live, and every replication lands cheaper than the last.
Your teams run what is live, and the squad stays engaged at the capacity the account requires: the same solvers who built your system, sized to the quarter ahead. The agents remain full-time, sharper every quarter, and the next processes keep coming off the agenda.
Everything we build is portable and yours. We stay because the next process is worth more than the last, never because leaving would cost you.
The standing engagement
Business requirements shift. Regulation rewrites itself. Competitors adopt what you adopted. And the AI frontier moves weekly, not yearly. A process fixed once and left alone starts aging the day the squad moves on. So ownership comes with a standing option most clients take: you own the system; we keep it current.
The agents on your account retrain on newly verified patterns from across the record, so your processes inherit what the whole firm keeps learning.
When a new model class or capability changes what your process could produce, you hear it from us first, with the evidence, before your competitors ship it.
When the rules move, the redesign and the evidence trail move with them, inside the system, on the standing squad's clock.
Quarterly readings from your own systems continue. The ratio of value delivered to fees paid stays visible, and stays above one. That is the whole deal.
And the people do not swap out for a support desk: the same solvers who built your system stay engaged at the capacity each quarter requires, forty percent of a person here, a full seat there, sized to what is moving. Through sustain and scale the solver squad stays engaged at reduced capacity, sized to what your engagement actually requires: a fraction of a squad rather than a bench you pay to idle. Your people taper us down; the currency never tapers. And the guardrail holds in both directions: everything remains portable by design. The engagement is sustained by the value that keeps arriving, never by the cost of leaving.
Runs where you already are
We deploy on the cloud you have committed to and inside the compliance posture your industry demands, with the intelligence routed to whichever model earns the work on your own process: open weights, closed weights, or a combination.
Deployed inside your existing commitments, co-engineered with the platform's own teams, making the contracts you signed produce the returns they were signed for.
Dedicated, isolated environments in your own tenancy. You hold the keys, the governance, and the upgrade timing.
For the processes regulation will not let leave the building: on-premise deployment with zero external dependencies, maintained on site.
Your data trains your agents and no one else's. Patterns shared to the wider library are de-identified by contract, always.
The difference
Plenty of firms will now sit onsite and ship agents. We are the ones who co-sign the starting number before we build, read the result from your systems after, and tie our fee to the difference. Deployment gets AI into production. Verification is what makes it true.
Start
Bring us the process that eats your margins, your cycle times, or your customers' patience. In twelve weeks you will have a working system in production and a number both sides signed.