Discovery
01/04
We scope the use case with you and confirm exactly what to build, why, and how we'll measure it working.
Build the use case
02/04
We design and ship a production-grade AI solution running in your environment — built alongside your engineers.
Handoff & training
03/04
We hand the solution over and train your team to run and maintain it, so the capability stays in-house.
Support (optional)
04/04
Your team owns it. If you'd like us on hand for rollout and iteration, we stay engaged for as long as it's useful — on your terms.
Support agent
Handles a ticket end-to-end - routing, resolution, and escalation in one flow.
Document-processing pipeline
Turns unstructured documents — contracts, claims, invoices — into structured data your systems can act on.
RFP agent
Runs the full RFP lifecycle automatically - extraction, CRM updates, and a Go/No-Go recommendation.
COBOL transformation
Translates legacy COBOL systems into modern, maintainable code your team can confidently build on.
Working on something else? Contact us and we'll walk you through what's possible.
iForAI helped us define the initial security, privacy, and safety frameworks needed and crafted a foundational white paper that supported our sales process. This support came at a pivotal moment and delivered measurable value to our business.
Allison Langille
COO at Valence
The approach was fresh, strategic, and grounded in a strong understanding of the AI space. They made it easy to communicate complex ideas with clarity their input helped reshape how we articulate our values.
Yair Adato
CEO at BRIA AI
IForAI brought a rare mix of technical depth, product thinking, and business intuition - helping us go from ideas to impact faster than we thought possible.
Camden Swita
Head of AI Innovation at New Relic
We partnered with iForAI to refine our go-to-market strategy, and their input was spot-on. They brought not only deep knowledge of how AI products succeed, but also strong strategic insight that helped us zoom out, see the bigger picture.
Oren Netzer
CEO at DataHeroes
No. We build the solution alongside your engineers, and if you don't have people to spare, Discovery is where we figure out how much of the work falls on us versus your team. Either way, by handoff your people know how to run it.
If an off-the-shelf tool or template would solve it, we'd tell you to use that instead. Custom AI Solutions exist for the problems that don't fit a template – ticket resolution end-to-end, a pipeline built around your specific documents, a forecasting model wired into your systems. Discovery is a fast way to find out which camp you're in.
No, that's normal at this stage. Bring us the problem, not a spec. Discovery is where "we have this issue" becomes what to build, why, and how we'll measure it working.
It depends on scope, but most of what we've shipped lands in 2-3 months with a lean team – often one or two people on our side. You'll know the real timeline after Discovery, not before.
Your team owns it and can run it without us. If you'd rather we stay on for rollout or iteration, we do that on your terms, for as long as it's useful – never because you're stuck with us.
You do. It's built to run inside your environment from day one, and ownership transfers at handoff.
Not sure where you'd start?
Tell us what you’re trying to solve. We’ll help you determine the right approach—and whether a custom AI solution is the right fit.
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