Move AI from pilots to production.
AI Xccelerate helps enterprises identify what is worth building, prove its value through working systems, and deploy it within their technology strategy.
A hybrid workforce.
Employees and AI workers across one business process. Not a collection of chatbots.
- AI workersIntake and triage the request
- Your employeesOwner reviews the exceptions
- AI workersGather the data, draft the work
- Your employeesHuman decision and approval
- AI workersExecute in your systems of record
One accountable human owner. Governance and evaluation at every step.
We bring AI leadership, forward-deployed engineering, and reusable agentic foundations together in one accountable execution model.
Partner credentials
Recognized by the platforms your AI strategy already runs on.
Anthropic
Partner
OpenAI
Partner
Microsoft
Cloud AI Partner
In your cloud: Azure · AWS · GCP · Cloudflare · Vercel
How an engagement runs
Start with the business priority. Prove what works. Scale with evidence.
The first engagement delivers an AI roadmap and a working Proof of Impact, proof before the big commitment.
First engagement
- DiscoverWhere AI can create meaningful value
- PrioritizeWhich opportunities deserve investment
- ProveBuild something real, fast enough to matter
Embedded execution
- DeployInto your environment, under your governance
- ScaleForward-deployed team executes the roadmap
Enterprises don’t have an AI idea problem. They have an execution problem.
Enterprises are not short of AI tools, experiments, or ideas. What is missing is the path from that activity to systems running in production.
AI activity today
Where most enterprises are
Copilot, ChatGPT, Claude already in daily use
Individual productivity, not business systems.
Dozens of candidate use cases on the list
Ranked by enthusiasm, rarely by value.
Pilots that never reach production
Demos that work, systems that never ship.
No shared architecture or governance
Every team starts from zero.
The execution gap
Progress stalls on questions nobody owns.
- Which opportunities are worth pursuing?
- What will create measurable business value?
- How will it work with existing data, technology, and processes?
- How will it be evaluated, governed, and operated?
- Who is responsible for getting it into production?
Unanswered, the pilot stays a pilot
What production looks like
The target state
Secure, governed AI systems
Evaluated, controlled, and auditable.
Running inside your own environment
Your data, identity, and infrastructure.
Owned and operated by your teams
Clear accountability after handover.
Measurable business impact
Outcomes tracked against the business case.
AI Xccelerate builds the bridge
AI Xccelerate answers those questions through execution. The work produces direction and a working system, not another strategy presentation.
Strategy and execution happen together.
The roadmap and the first working system get built at the same time. No six-month assessment before anything ships.
Track A: Discovery and direction
- Understand the business and its priorities
- Prioritize the opportunities worth funding
- Set architecture and governance
- Publish the AI roadmap
Track B: Delivery, in parallel
- Pick one or two high-value use cases
- Build the agent or agentic workflow
- Deploy inside your own environment
- Something real, running in your business
Both tracks converge on
A roadmap with a working Proof of Impact
Executives stop debating what AI might do. The production decision gets made on evidence from your own environment.
We fit your technology strategy. We are opinionated about engineering.
Our infrastructure is an accelerator, not a silo. We bring it when it makes delivery faster. You are never forced to adopt it.
You choose
We adapt
Cloud: your choice
Microsoft Azure · AWS · Google Cloud · Cloudflare · Vercel · Railway
Models: your choice
OpenAI · Anthropic · Microsoft Copilot · Open source
We are opinionated
Our method
How agentic systems get engineered
- Knowledge systems
- Agent data infrastructure
- Skills
- Identity and permissions
- Orchestration
- Evaluation and governance
We bring
When it makes delivery faster
Infrastructure accelerators
- Knowledge: ParchmentGoverned company knowledge and wiki
- Memory: Agent MemMemory that persists for every worker
- Agent DBDatabase and file system for agents
- Skills libraryCentralized reusable capabilities
- Meeting Intelligence: ScribeCaptures the knowledge meetings create
- AIX CoreThe backbone: identity, permissions, platform
Production agentic systems running in your environment
- Your cloud (Azure, AWS, GCP, Cloudflare, Vercel)
- Your data architecture
- Your identity and security controls
- Your governance requirements
You don’t need another AI platform. You need an execution partner.
Decide what to build. Prove it quickly. Put it into production inside your enterprise.
The first conversation focuses on the business and execution context. It is not a platform demonstration.
Not this conversation
Would you like to see our AI platform?
This conversation
What does your organization need AI to materially change in the next 12 months?