AI that works.
And keeps working.
Your team is already using AI. Cirface gives you the governance, strategy, and managed connections to adopt it safely, prove it works, and keep it working after every model update.
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 be complicated. We charted a path that takes you from “we have no idea what our team is using” to AI agents running in production, governed and maintained.
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.
AI connection management
YOU LEAVE WITH
Certified, monitored, and maintained AI connections.
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.
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.
AI connection management
“We need to better manage, evaluate, and optimize our agentic workflows.”
Once your agents are live, someone has to own everything they are connected to. That layer otherwise belongs to nobody. We take it on:
A living connection register. Everything your AI touches, governed and auditable in one place.
Certification before production. Least-privilege access, tested in every AI client that matters to you.
Re-testing on every model release. We find the breakage before your team feels it, and we deliver the fix.
A quarterly health report. What is working, what degraded, and what changed, delivered to leadership.
A dedicated consultant. One accountable owner for your entire AI connection layer.
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
Re-certified on every model update. We deliver the fixes while your engineers stay on your roadmap.
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 spent years building and fixing how work moves through organizations as a Platinum Asana Solutions Partner and Asana's Partner of the Year for the Americas. That work 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.
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.
Start with ground truth.
Every engagement starts the same way: finding out what is actually happening with AI inside your organization. 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