Real AI that runs at enterprise scale.
Most enterprise AI stalls between pilot and production. Where other firms stop at recommendations, we step in: scoping, staffing, and engineering AI that runs the business. And we stay in until the outcome is real.
AI that actually runs.
The gap between AI strategy and AI in production is where most programs stall. Insight Global bridges it — with the people, the methodology, and the track record to take AI from proof-of-concept to enterprise scale.
We don’t just advise on AI — we build, deploy, and run production AI systems for Fortune 500 organizations. From agentic workflows to data platform modernization, our teams embed alongside yours to deliver outcomes that hold up in production.
Powering the AI revolution from the bottom up.
Insight Global Labs is Insight Global’s AI services and software practice, built to scale agentic AI inside the enterprise. We started it because the same gap shows up at every client: AI is deployed, but the operating model that captures value from it isn’t built yet.
Labs exists to close that gap. We embed engineers inside your team — with the tools they need and the agents they’ve already built. Backed by Insight Global’s global recruitment scale, multi-cloud partnerships, and the engineering teams that keep the systems we build running in production.
From first prototype to enterprise platform.
Most programs start at Stage 1; others enter further down the path. Each stage has a fixed scope and a defined timeline — finish one, decide on the next.
Prove the value.
Map the value chain, prioritize the highest-ROI use cases, and deliver a working prototype showing the end-state.
Put agents to work.
Take one workflow slice into production with a multi-agent solution, eval suite, runbook, and a measured pilot.
Transform a function.
Connect 2–4 roles across a workflow with multi-agent orchestration, controlled autonomous writes, audit trails, and risk management.
Re-platform the company.
Build a shared agentic platform with workflow packs. New use cases launch in weeks, and ROI compounds across every function running on it.
The engineering core
The system underneath every agent, workflow, and platform we deliver.
Two ways to bring us in.
AI programs need different things at different stages. Sometimes that’s specific roles filled fast; other times it’s a team that owns the pilot, the platform, or the production rollout. We’ll help you find the right fit.
We assemble the team, take ownership of the outcome, and report against your KPIs.
Share a role. Get a qualified AI shortlist in 48 hours. Welcome new specialists to your team.
Every program is at a different stage. We meet you at yours.
Pick the stage that best describes your program today. We’ll show you what the right next move looks like — and who runs it.
We’re exploring what AI means for us.
Before you pick platforms, vendors, or agents, you need a defensible point of view. We’ll ground it in your actual operating reality — data, talent, governance — and name the first use cases worth funding.
A clear, prioritized AI game plan — with the use cases, sequencing, and capability gaps named.
We want to get more value from our data.
AI doesn’t start when data is centralized — it starts when data is governed, trusted, and delivered as products AI systems can actually consume. We audit the foundation and modernize what blocks you.
Clean, connected, trusted data — ready for analytics, agents, and the decisions AI needs to make.
We’re ready to turn data into decisions.
You have the foundation. Now the work is targeting the decisions that need better signal — and building models that earn their keep against a clear ROI.
Insights that drive real business outcomes — pricing, forecasting, personalization, risk.
We want to put agents to work for us.
Pick one well-defined workflow with measurable ROI. Six to eight weeks, fixed price, outcome guaranteed. That’s how we prove value — then we earn the next workflow.
AI built on your data, for your teams — one workflow agentified, ROI measured, the path to more proven.
We’re running agents — now we need to scale safely.
You’re past pilots. The job now is the factory — standardized models, shared ontology, governance by default, and the delivery model that puts new agents into production without introducing new risk.
Agents in production, governed by default, and scaling across the enterprise without breaking what works.
AI drives end-to-end business transformation.
The real power of AI isn’t task automation — it’s reshaping the business itself. Cecil Stokes shares what enterprise leaders need to prioritize today to make that shift real, not theoretical.
From hallucinating agents to trusted autonomy in production.
Their enterprise AI assistant was stalling in production — agents hallucinated tool calls, looped on errors, and couldn’t balance autonomy with safety. Insight Global embedded with the client’s internal AI team to tune the models and agents end to end: data generation, specialized instruction tuning, agentic behavior, and guardrails.
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Let’s scope the AI work.
A 30-minute call. No pitch, no commitment.
- 30-minute scoping call
- No-obligation fit check