Adopt AI without losing control of your business.
Your team is already using AI. We help you see where, set the rules, and build what comes next, without the mess.
ASSESSMENT IN 2–3 WEEKS · FEES CREDIT TOWARD GOVERNANCE
AI adoption is happening in your organization, with or without a plan
Most leadership teams are not deciding if they should adopt AI. Their teams already did. What is missing is visibility, policy, and someone accountable for what happens next. Here is what we see inside organizations right now:
01
Shadow AI is already connected to your data
Personal AI accounts, often on personal plans, are linked to company tools. Leadership has no record of where.
02
Sensitive data is flowing without a policy
No one has decided what is safe to share, or who answers for it when something goes wrong.
03
Agents have ungoverned permissions
AI agents get connected with broad, undefined access, and nobody monitors what data moves in and out.
04
Connections ship untested
There is no standard for building AI connections, and every model update can silently break what worked yesterday.
05
There is no single source of truth
Work lives across a dozen tools and private chats, so teams cannot trust the context their AI is working from.
If any of these sound like your organization, you are exactly who we built these services for.
AI, adopted properly.
Adopting AI should not mean rebuilding how your team works. We charted a path that takes you from zero visibility on your team's shadow AI to a governed rollout and a priced build plan your team can execute.
AI readiness assessment
YOU LEAVE WITH
A full inventory of AI use and a risk-ranked action plan.
AI governance program
YOU LEAVE WITH
Policy, data rules, and disclosure your team owns.
AI strategy and blueprint
YOU LEAVE WITH
A prioritized, priced build roadmap.
Each step stands on its own. Assessment fees credit toward the governance program.
AI readiness assessment
“We know the team is using AI. We just can't say where.”
In two to three weeks, we replace guesswork with ground truth.
A full AI inventory. Every tool in use across your organization: approved, unofficial, and shadow AI.
An exposure map. Every place AI touches company data, official or not.
Risk-ranked findings. What to fix first, including quick wins your team can apply the same week.
A clear recommendation. If you are in better shape than you thought, we will tell you that too.
A leadership readout. Findings deck, video walkthrough, and a working session with your executives.
AI governance program
“AI usage feels like the wild west and we have no standards for our team to follow.”
Governance is the set of rules that lets you say yes safely. Over six to ten weeks, we build:
An acceptable use policy. Written for your operations and your data, not adapted from a template.
Data rules staff can actually apply. What data goes into which tools, decided once, in plain language.
A tool approval process. A fast, safe yes for every new tool your team wants to bring in.
Client-ready disclosure. The statement you hand to procurement, with the incident runbook behind it.
A handoff to your team. We build the system and train your policy owner. Your team owns it from there.
AI strategy and blueprint
“We have the mandate to build with AI. We don't have the plan.”
In four to six weeks, we turn a mandate into a build plan your team can execute:
A service blueprint. How work actually moves through your team, with baseline metrics to measure against.
A systems architecture map. Every system, every data flow, every required configuration — the centralized context layer your AI will work from.
An integration map. Who owns each system, what each connection needs, and which approvals to clear.
A co-design workshop. Your stakeholders design the future state with us, so adoption is built in from day one.
A build roadmap. Prioritized and priced. We hand the playbook to your team, or scope the build with you.
Know your MCP server works before your users do
There is no standard for shipping an MCP server. Most ship untested, straight to production, and once they are inside ChatGPT or Claude they become a black box. Your engineers end up maintaining a connector instead of building your product.
01 — BUILD
Your MCP server, built to a standard: scoped from your API and the jobs your customers' agents actually need done.
02 — PROVE
Tested pre-production, the way your users' agents will use it. Persona-based journeys, evals on every release, validated across ChatGPT, Claude, Copilot, Gemini, and Cursor.
03 — MANAGE
Ongoing certification. Your server is re-tested on every model update across the clients your customers use, with a register of what it exposes and a health report for your team. We find the breakage before your users do and deliver the fix, while your engineers stay on your roadmap.
MCPJAM PLATFORM NUMBERS
30,000+
MCP SERVERS TESTED
200+
ENTERPRISES ON THE PLATFORM
60%+
TOKEN CONSUMPTION CUT
10–15%
HIGHER AGENT SUCCESS RATES
Our testing runs on MCPJam infrastructure, trusted by Asana and Bright Data. Cirface is an MCPJam Certified Services Partner.
The partner behind the partner badges
We ran this audit on our own company first — and what we found changed how we work.
We are not writing this from the outside. Before we sold any of this, we ran the assessment on ourselves, and the numbers surprised us. So we did the work we now describe on this page: we wrote the policies, set a data standard, named an owner, and removed the tools that fell short of it.
Years as a Platinum Asana Solutions Partner taught us something most AI consultancies have not learned yet: technology only delivers when the workflows, governance, and people around it are designed to support it.
AI enablement is that same discipline, a layer deeper. We are an MCPJam Certified Services Partner, and we hold every engagement to one standard: build it properly, prove it works, and keep it working.
Now we bring that same discipline to AI. We are an Anthropic Partner and an MCPJam Certified Services Partner, and we apply the same standard to every engagement: build it properly, prove it works, and keep it working.
The same plan, in your words
The same three services carry a different weight depending on your seat. Find yours.
“Figure out AI” landed on your desk without a budget, a baseline, or a map of what your team already connected.
You are accountable for tools you have never seen, on personal accounts you cannot audit, touching data you are on the hook for. Start with the assessment: in three weeks you will know exactly what is in use and what to shut down first, and the governance program turns that into rules your team follows because they helped write them. When leadership asks where things stand, you will have a real answer.
Start with the assessmentYour team found AI first, and it is working: faster content, cleaner handoffs, pipeline moving.
The last thing you want is a policy that takes it all away. That is not what governance is for. Clear data rules mean your team stops second-guessing every prompt, a fast approval path means new tools get a yes in days instead of dying in review, and the blueprint connects AI to your CRM and your actual pipeline instead of a dozen disconnected tabs. Speed with guardrails beats speed with apologies.
See the governance programYour customers' AI agents are already trying to use your product.
If your MCP server fails inside ChatGPT or Claude, the user blames your product, files a ticket, or quietly churns, and you may never find out which. We build your server to a standard, prove it against every client that matters, and keep it certified through every model update.
See how we certify
Start with ground truth.
Every engagement starts the same way: finding out what is actually happening with AI inside your organization.
LEFT ALONE
This is the kind of thing you find out from a breach, a deal stalled in procurement, or an AI investment that quietly stops working.
HANDLED
A team moving fast inside clear boundaries, and a real answer when a client asks how you handle AI.
The readiness assessment takes two to three weeks, credits toward the governance program, and gives you a clear picture either way.
2–3 WEEKS · FEES CREDIT TOWARD GOVERNANCE
AI that works. And keeps working.