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.
Productivity compounds with agentic scope.
Stand up agents inside a workflow.
6–8 weeks to production
Agents take on the heavy lifting in one workflow. The role that runs it delivers more, faster, with the same headcount.
Connect agents across a function.
6–12 months
Agents move work between roles end-to-end, write to systems of record under controls, and escalate to humans by exception. Productivity compounds across the team.
Run the agentic platform.
Multi-year program
A shared platform hosts many workflow packs. New use cases go live in weeks, not months. ROI compounds across every function on it.
Industry standard: months to first production agents. Ours: 6–8 weeks.
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.
One team built to put AI in production, led by people who’ve done it.
Santosh Kandle
20+ years selling emerging technologies for large-enterprise transformation.
Connect on LinkedInMarcus Bergstrom
Seven years as co-founder and CEO of a $100M AI company.
Connect on LinkedInSushanth David
Distinguished AI researcher with deep experience delivering AI solutions.
Connect on LinkedInNikhil Patlolla
Expert in AI agent platform deployments and global business operations for Fortune 500 industry leaders.
Connect on LinkedInNeeraj Madan
20-year AI expert and IBM Watson AI leader.
Connect on LinkedInAI 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.
Read the full case studyOur latest thinking on operationalizing AI at enterprise scale.
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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