AI, Accurate Intelligence

AI-Powered Solutions, built and managed by the team you already trust.

We secure the data AI touches, put working agents and tools in your team's hands, and host and manage the whole environment inside your organization. Not a subscription you're left to figure out. A system we run for you, the same way we run everything else.

Delivered as part of an Accurate Managed Services relationship.
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Why Accurate

20+ TB
Client data assessed  before any seat went live
Millions
Files & messages scanned for oversharing
400 K+
Over-permissioned items corrected before AI access
100%
Of client environment is secured before AI touches anything
The Approach

AI that sticks, not a pilot project that fades.

A company buys a subscription. A few enthusiastic people use it for a month. Nobody builds anything durable, nothing connects to the systems the business actually runs on, and it quietly falls off the renewal list. The problem was never the technology. Nobody owned it, nobody secured it, and there was no one accountable when adoption stalled.
Accurate Intelligence AI is a managed service, not a tool
We secure what AI touches before it touches anything. We put working agents and tools in your team's hands in the first two weeks. Then we host, monitor, and maintain them the same way we maintain the rest of your environment. Same people. Same accountability.
HOW IT WORKS

Three phases. One team. No handoffs.

Each phase builds on the last. You don't need to know what you want before we start. That's what Phase 1 is for.

01

AI Foundations
ONE-TIME
Two pieces of work: secure what AI will touch, then get it into your people's hands, actually working. Both inside two weeks.
COMPONENT 01
AI Foundations Readiness Assessment and Remediation
Before anything connects, we go through the data and systems AI will reach into: permissions, exposure, classification, and access boundaries. You find out what AI would be able to see, and we fix what it shouldn't, before a single seat goes live.
COMPONENT  02
AI Foundations Deploy
Your team gets AI in hand and working on day one. Trained skills and agents ready out of the box, not a blank chat window and good luck. Integrated into your Microsoft 365 environment and running under the identity, conditional access, and security policy you already have.
Result: your orgainization is secured and productive with AI before anyone has decided what to build.

02

AI Build
ONE-TIME
We go department by department, evaluate how the work actually gets done, then build what the evaluation calls for.
COMPONENT  01
Discovery
Using our own evaluation framework, we map each department's systems, workflows, and manual processes, then score them for automation value. You get a proposal: what to automate, what to build, what it's worth, and what it costs. Decide from evidence, not enthusiasm.
COMPONENT 02
Build
We build what was approved: agents, internal tools, integrations, and hosted platforms. Deployed inside your environment, connected to your systems, tested with the people who'll use them, and documented before handoff.
Result: manual processes replaced with working systems, one department at a time.

03

AI Manage
MONTHLY
Everything we built is hosted, monitored, maintained, and improved on a recurring basis, as part of the environment we already manage for you.
COMPONENT  01
  • Hosting and monitoring inside your environment
  • Quarterly reviews and optimization
  • Defined monthly modification hours
  • MCP Gateway management and connection monitoring
  • New builds at contracted rates
  • Usage, cost, and adoption reporting
  • Named AI point of contact
Result: your AI capability grows with the business and keeps working, without needing internal expertise to keep it alive.
WHY YOUR MSP

AI is not a special case. It is an application in your environment.

Every system you run needs the same things: identity and access control, security policy, integration with what is already there, monitoring, patching, vendor management, and someone accountable when it breaks at 4pm on a Friday.

That is not AI expertise. That is the job we have been doing in your environment for years.
A consultancy builds you something and leaves. A software vendor sells you a seat and a login. We already run the environment AI has to live inside, which is why it gets deployed, secured, supported, and eventually retired exactly like every other application, system, and server we manage for you.
Identity.
AI runs under the same accounts, groups, and conditional access we already manage
Security.
Your existing policy applies to AI on day one, not as a retrofit after an incident.
Integration.
We already know your M365 tenant, your line-of-business systems, and where the data lives.
Hosting.
What we build runs inside your environment, managed by us, not on someone else's platform.
Support.
Same helpdesk, same escalation path, same SLA as everything else you call us about.
Lifecycle.
Reviewed, updated, and replaced on a schedule, like any other system we own.
WHAT WE  BUILD

Far more than skills

A skill is where most providers stop, because a skill is all a chat subscription can hold. We build and host complete systems inside your environment, connected to the software your business already runs on.
Agents
Internal tools
Platforms
Skills and Integration
Run unattended against a defined job, on a trigger or a schedule.
Interfaces your staff open and use like any other business application.
Hosted in your environment, managed by us, serving multiple departments.
The connective layer, and only one part of the work.
LAYER 01 / PLATFORM
Claude Teams, in your tenant
Provisioned with SSO, seat management, usage controls, and governance documentation. Built on Anthropic's enterprise platform, administered by us, owned by you.
LAYER 02 / GATEWAY
The Accurate MCP Gateway
Our managed gateway connects everything we build to your business systems with least-privilege, scoped permissions, and full audit logging. This is the layer that turns a chatbot into a working system, and the reason what we deploy still works six months later.
LAYER 03 / WHAT WE BUILD
Agents, tools, and platforms
Built around specific work in specific departments, hosted inside your environment, tested with the people who'll use them, then documented and handed off with a named owner.
USE CASES

What we can build for you.

Real solutions we can build for your team. Every one keeps a person in control of the decision that matters.
Finance and AR
Vendor invoice intake

Point an AI task at the inbox that fills with vendor PDFs all day. It reads each one, pulls the data, and hands AR a clean, documented set to review daily or weekly. No manual keying.
‍

Human checkpoint: AR reviews every extracted invoice before anything posts.
Accounting
QuickBooks reporting that fits you

Connect QuickBooks Online to the AI tool your team uses and build custom, on-the-fly trending reports the way your accountants think, not the way Intuit does.
‍

Human checkpoint: The agent builds the report; your accountant still owns the analysis.
Custom Integration
Your line of business app, finally connected

Old LOB app that supports integrations but no dev shop could help? That's our lane.

‍

Let's Talk --->
Customer Experience
AI voice agent

Engages callers in natural conversations, providing information, resolving routine requests, and connecting them to the right team when needed.

Human checkpoint: AI handles routine inquiries; staff focus on exceptions, decisions, and relationships.
Productivity
Voicemail that reads itself

Every voicemail becomes accurate text, complete with tone, a summary, and the to-dos pulled out.
‍

Human checkpoint: The agent transcribes and summarizes; your team still decides what to act on.
Security and Governance
Data exposure cleanup before AI

Find what's overshared across Microsoft 365, flag the risky items, and lock it down before AI can surface it. Most teams don't know what's exposed until we show them.

Human checkpoint: Your team approves every access change before anything is revoked.
Data and security

Your data stays yours.

This is the first question every client asks, so it gets its own section rather than a footnote. If your answers need to satisfy a regulator, an insurer, or a client, bring them to the discovery session.

AI and Claude working on a computer
Shield representing your data not used to train models
Your data is not used to train models
Enterprise terms apply to every seat we provision. Your prompts and documents are not training data.
briefcase denoting exposure reviewed before anything connects.
Exposure reviewed before anything connects
Readiness maps what AI would be able to see across your systems, and we correct over-permissioned data before a single seat goes live.
Gateway grants agents specific systems.
Least-privilege access, fully logged
The gateway grants each agent only the specific systems and records it needs. Every call is logged and reviewable.
Check mark denoting running under the controls you already have in place.
Runs under the controls you already have
Identity, conditional access, and monitoring run through the same security stack we already manage for you. No parallel security model to maintain.
Document icon for governance documentation delivered.
Governance documentation delivered, not promised
Acceptable use policy, escalation paths, and an approved-tools register come out of AI Foundations as real documents.
straight answers

The three things people say before they say yes.

"We will just do it ourselves."
Plenty of teams can build something. Most stall at the same point: the person who built it changes roles, gets busy, or leaves. Nothing is documented, nothing is hosted properly, and it degrades as the platform changes underneath it. Building is the easy part. The managed service exists because of everything after.
"We already have Copilot."
Copilot works inside Microsoft applications and it works well there. It doesn't build an agent that processes your invoices overnight or an internal tool your PMs open every morning. Different job. Most of our clients run both, and we help you decide which work belongs where.
"Our data is too sensitive for this."
Fair, and often correct for some of it. That's exactly what Readiness is for: finding out what AI would be able to reach, deciding what it never touches, and proving the boundary holds before anything is connected.
FAQ

Frequently Ask Questions.

How long until we see something actually working?‍

AI Foundations puts working agents and skills in your team's hands inside two weeks, before any custom build starts. The first department build from Discovery is typically in production 3 to 4 weeks after that. Our median across current clients is 11 days from kickoff to a first working deployment.

What's the difference between Readiness and Deploy?

Readiness looks inward at your data: what AI would be able to reach across your systems, whether that access is appropriate, and what needs correcting first. Deploy looks outward at your people: getting them live with working agents and skills, integrated into Microsoft 365 and running under your existing security policy. Both happen in AI Foundations. Neither works without the other.

Why an MSP and not an AI consultancy?

Because AI is an application in your environment, and applications need identity, access control, integration, monitoring, support, and lifecycle management. That is the work we already do for you. A consultancy can build something impressive and hand you the keys, but somebody still has to own it on the Tuesday after they leave. We already do.

Is our data used to train the model?

No. Every seat we provision runs under enterprise terms where your prompts, documents, and outputs are not used as training data. Data residency and retention terms are documented as part of AI Foundations, so your legal and insurance people have something to read.

Does this replace jobs?

Not in any deployment we have run to date. It removes the work people already resent: re-keying data, chasing documents, answering the same question for the ninth time. Everything we build keeps a human on the decision that carries risk. Where teams have found real capacity, they have used it on backlog, not headcount reduction.

Can we start with one department?

Most clients do, and we recommend it. AI Foundations covers the whole organization because security and access have to be handled once, properly. After that, pick the department with the most repetitive work, prove it there, then decide whether to expand.

What happens if the person who owns it leaves?

Nothing breaks. Everything we build ships with documentation and a named owner, and we reassign ownership at the quarterly review. It is maintained and hosted by us, not by an individual on your team. This is the most common failure mode in internal AI projects and it is the reason the managed service exists.

If we cancel, who owns what you built?

You do. The agents, tools, configuration, and documentation are yours and we export them on request. The Claude Team Plan tenant is in your name. What ends is the hosting, the gateway service, the monitoring, and the ongoing optimization work. We would rather tell you that up front than have it be a surprise in a renewal conversation.