Built by CIOs and CTOs.
Founded 2013. The team has spent two decades inside enterprise IT as CIOs, CTOs, and architects. The platform is shaped by what we know your CRO, your procurement lead, and your auditor are going to ask.
The shape of the firm has stayed the same: small, senior, advisory plus build.
Enterprise Sight was founded in 2013 by Michael Reed, a CIO and CTO with twenty-five years inside Fortune 500 enterprises. The original idea was a small firm of senior practitioners who’d seen enough enterprise IT to help with the problems internal teams couldn’t yet staff for.
That shape has held across thirteen years. What’s changed is the problem on the table. Cloud, then data, then AI integration, now agent-to-agent commerce. The work has shifted with where enterprise IT actually needs help.
Who's actually here
FOUNDED 2013 · OPERATING ACROSS THREE TIMEZONESMichael Reed
CIO + CTO · Fortune 500
Twenty-five years as a CIO and CTO inside Fortune 500 enterprises. Now building the firm that solves the problem he spent the last decade watching coming.
First call, scoping and fit
Senior enterprise sales
The first call most prospective clients have. Senior enterprise sales background with the technical fluency to keep the early conversations productive.
Architects, engineers, senior advisors
Two decades inside enterprise IT before joining
All have spent two decades inside enterprise IT before joining ES. We don't staff junior. The seniority is the point.
Where we work
Customer agents, MCP standards work, west-coast accounts. Our point of contact for US tier-1 banks.
Build studio. Engineering bench, EU AI Act conversations, weekly senior advisory sessions.
Asia-Pacific delivery, logistics and trade-finance accounts, regional regulator engagement.
Vendor-neutral by design
Most firms in this space have partner programmes. They get paid by the cloud provider, the LLM vendor, or the platform they recommend. The architecture they sell you bends toward that incentive.
We don't have those programmes. The architecture we recommend serves your stack. If your treasury is on AWS and your data is in Snowflake, the platform runs on AWS and reads Snowflake. If you've decided to use Anthropic for one workload and Google for another, it stays agnostic to which agent is calling.
We don't sell this as a virtue. It's structural. Every recommendation has to stand on technical merit. There's nothing else holding it up.
Most prospective clients start with a thirty-minute call. We'll ask about your customer-side agent traffic, your existing systems, and what your risk team will need to see.
Book a 30-minute scoping call →