Operating leaders
CEOs, COOs and CFOs who are dealing with growth pressure, administrative overhead and workflows spread across too many tools. You want capacity without adding headcount, and you want to know where the time goes.
Governed AI agents that run real operational work Your next hire isn't human.
Intras AI designs, deploys and runs AI agents that take on real operational work across finance, operations, HR, revenue and IT. Agents handle the routine work. Your people approve what matters.
vendor invoice
Illustrative
- Invoice arrivesShared mailbox, vendor portal or upload
- Agent matches and codes itAgainst the purchase order, contract and past invoices
- Policy checkOver-threshold amounts and changed bank details are flagged
- Controller approves ApprovedNamed approver, with the match and evidence attached
- Agent queues it for paymentPosted to your accounting system for the next payment run
- Logged and confirmedAudit trail kept, vendor updated, exceptions reported
Who we work with
Built for the people who own the work, and the people who own the systems.
IT and technology leaders
CIOs and heads of IT who are asked to "do something with AI" while keeping identity, access and data under control. You want agents that work inside your existing systems, follow your rules and can be audited.
Most engagements need both. The operator defines the outcome, IT defines the guardrails, and the agent works inside both.
How engagements work
We build it with you, then we run it for you.
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01
Opportunity Scan
A 30-minute executive conversation that identifies three workflows where agents can reduce manual work, speed things up or absorb fractional headcount.
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02
Assess and design
We map the workflow, the systems it touches and who decides what. You approve a written design, including hosting, model choice and approval rules, before anything is built.
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03
Build and hypercare
Our engineers build against the approved design and test it with the people who own the work. A hypercare period follows go-live.
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04
Run
We operate the agent: monitoring, tuning, policy and model updates, and new skills within the approved catalog. You get a monthly report on what the agent did and where people stepped in.
Agents by function
Capacity for every part of the business, not just IT.
For CFOs
Finance
Payables and vendor onboarding, collections follow-up, renewal billing review.
For COOsOperations
A daily operating briefing, capacity reporting, vendor and spend review.
For HR leadersPeople
Employee lifecycle from day one to last day, HR requests, recruiting coordination.
For revenue leadersRevenue & client success
Account research and outreach drafting, client review prep, renewal risk.
For CIOsIT & security
Identity and access, service desk triage, security alert triage.
For the boardThe business case
How every agent is sized against hours, cycle time, risk and cost.
Pricing
Fixed-fee build. Monthly run. No hourly meter.
Build
One fixed fee per agent
Covers assessment, design, build and hypercare. Billed at two milestones: on signature, and at your written approval of the design. Scope is agreed before work begins.
Run
A monthly subscription per agent
Covers operation, monitoring, tuning and updates within the approved catalog. Once an agent has a measured baseline, we can move to usage-based or outcome-based pricing, based on numbers we both trust.
Hosting and model costs run in your own cloud and model accounts, so you see them directly and nothing is marked up.
Governance and ownership
Agents execute. People approve. Everything is logged.
Before any autonomy comes one question: when should a person step in? We answer it in the design, in writing, before we build.
- Decision rights up front. Who approves, at what threshold and with what evidence is set before build, not discovered in production.
- Catalog-bounded actions. Agents only act on systems and roles you've approved. Anything unknown is stopped and reported.
- Credentials stay with people. Access and credential changes never rest on a model's judgment. They follow your approval path.
- You own what we build. Source code and deployment docs live in your Git. The agents run in your subscriptions, on your model accounts.
- Provider-neutral. We design for portability across leading model providers and local models, so you're not locked to one vendor.
- Your context is your IP. The knowledge your people give agents becomes a company asset, a corporate brain you control, not ours.
For MSPs and consultants
Offer AI agents to your clients without building a practice.
For MSPs
Your clients are asking about AI. Offer governed agents built for the systems you already manage, with Intras AI handling design, build and run behind you.
For consultants
Turn AI recommendations into working agents. You lead the advisory relationship, and we deliver and operate what you recommend.
- 01Your client stays your client. You own the relationship. We put that in writing.
- 02We don't sell managed IT. Intras AI delivers agents only, so we never compete for your core services.
- 03Co-branded delivery. Clients see your brand, delivered with Intras AI. White-label is available for larger partners.
Our operating history
Proven inside a working services business first.
Intras AI comes from the team behind Intras Cloud Services, a managed IT and cloud provider for 15 years. We built these agents for our own operations, with a person approving each output, before offering them to anyone else. We know the tools, the margins and the client expectations because we live with them.
From the founder
From the founder
Every company is adding AI features. I think the bigger shift is that AI becomes the default operator for routine work, and people become the ones who set direction, approve and improve it.
I've spent 15 years building a company that organizations trust with their most critical systems. Intras AI applies that same discipline to agents: clear scope, clear approvals, and you own the result. We started with our own company. Now we're building it for yours, and for the partners who serve you.
Kareem MerrittFounder & CEO, Intras AI
Managed Intelligence Opportunity Scan
Thirty minutes. Three workflows. A clear next step.
We'll look at where your team's time goes and identify three workflows where an agent can take on the routine work, along with what it would take to get there safely.