AI-3SIXTY helps US mid-market companies cut cost and ship faster with AI-first operations. Hand us the function to run, bring us in to transform your team in place, or use us as the delivery arm behind your own AI roadmap. You choose the model, and we build the savings plan with you as a co-owned roadmap.
You can’t recruit AI engineers at scale. You can’t justify a captive offshore centre. And the Tier-1 BPOs won’t customise their model for a $1M–$3M contract. That’s the gap we close — and we close it three different ways.
The AI talent your strategy needs has already been hired by Google, Meta, and OpenAI. We bring the team that’s already built — and the operating model to put it to work.
Capital, real estate, regulatory complexity, and management bandwidth you don’t have. We deliver the advantage from Day 1 — without the build.
Their model rewards staffing, not automation. Ours rewards results — we share the curve and put the target in the contract.
Not every team can — or should — offshore. So the savings don’t have to come from a location shift. Each model runs on the same AI engine and the same SPACE framework; what changes is who owns the operation and where the value comes from.
We run it for you.
We transform it in place — you keep your team.
We build it into the products you sell.
Mix and match. Run Finance & Accounting as a managed service, transform your customer-facing Sales Operations in place, and use us as the delivery arm for the AI features in your product — all under one master agreement, all tracked against a single co-owned savings roadmap.
Every engagement — whichever model you choose — follows the same five phases. Phase 1 is free. Phase 2 is paid and recovered in the agreement. Phases 3–5 are funded by the value we create together.
Executive briefing, opportunity sizing, and an Engagement Charter with conditional terms. No commitment until both sides see the prize.
Process diagnostic, licensing and tools audit, a signed cost baseline, and a blueprint with the right model selected.
Delivery stand-up — operations lift, in-place re-engineering, or roadmap onboarding. Parallel run, cutover, first value live.
AI Wave 1. Workflow automation, analytics, and process re-engineering across the function.
Agentic operations and cross-process intelligence. The AI-first operating model becomes the default.
Each tower is delivered through the same SPACE framework and offered under any of the three engagement models. Bundle them, or start with one.
Back-office, transformed.
RevOps, run for you.
Demand–supply, orchestrated.
The floor, kept accurate and moving.
We don’t hand you a forecast and walk away. We build a savings roadmap with you and co-own it through delivery — shaped during Scope and Profile, reviewed together, and adjusted as we learn. What the roadmap works toward depends on the model you choose.
“Other vendors quote AI. We build the plan with you — shared, scheduled, and owned together.”
For Managed Operations, the roadmap takes the shape of a savings glide-path we develop together during Scope and Profile — with shared upside when we get ahead of it and joint course-correction when we fall behind.
Illustrative example only · $10M baseline · not a quote
Illustrative figures to show the shape of a roadmap — not a prediction or offer. Your own glide-path is built around your baseline, scope, and process maturity during Scope and Profile, and will differ.
A savings glide-path we shape together and review as we go — illustrative ranges around 30% early and 60%+ over time, refined to your baseline, with shared upside when we get ahead.
A cost-to-serve and capacity-gain target we set together, with a portion of fees linked to progress against it. You keep the operation and the savings.
Dedicated delivery capacity or fixed-milestone pricing against your roadmap, governed by delivery SLAs and shipped features.
For managed engagements we plan around four measurable outcomes — set with you, tracked monthly, and reported to your board. The ranges below are typical targets; actual results vary by baseline, scope, and process maturity.
From the operations lift alone — before AI transformation begins. Shaped to your baseline and reviewed together as we go.
From signature to operational handover. Savings typically begin appearing in your P&L by month four.
Of in-scope transactional work running on AI workflows by Year 2, where the process supports it. Reviewed each quarter.
Versus your pre-engagement baseline, sustained through continuous AI optimization and re-engineering. Varies by engagement.
Three to four weeks. No cost, no commitment. You walk away with an Engagement Charter, an indicative savings estimate, the right model selected, and a term sheet to consider — or a graceful no.