AI Agents That Reach Your Production Systems
We engineer the Model Context Protocol layer between your ERP, CRM, EHR and data platforms and the AI agents you want working inside them.Deployed in your cloud account. Documented for your security review.
The build is the easy part. Approval is where programs stall.
Most US enterprises are past the question of whether agents are useful. What stops the rollout is the review queue. Infosec wants a data flow diagram. Compliance needs to know what a model can see. Procurement will not sign without a SOC 2 Type II report on file.
We build for that gate from day one. Scoped permissions, a full audit trail and a control mapping ship with the layer, so your security team reviews an architecture instead of a promise.
of enterprise applications are projected to ship with task-specific AI agents by the end of 2026, up from under 5% in 2025.
Gartner, cited in 2026 enterprise AI procurement reporting
SOC 2 Type II is now a qualification threshold in enterprise AI procurement, not a differentiator.
2026 enterprise vendor procurement guidance
state privacy regimes shape what an agent may read, from CCPA and CPRA to Texas HB 300 and NY SHIELD.
Typical time from system mapping to a governed layer running against a live production system.
We are not asking you to replace anything. We connect the systems you already run, inside the boundary you already control.
A Governed Layer Between Your Stack and Any Agent
Not another platform to buy. An integration layer that exposes the operations you approve and nothing else.
Your systems
MCP server layer
Scoped tools, role-based access, human approval on writes, and a full audit trail on every call.
Your agents
Built Against Systems You Actually Run
Salesforce, NetSuite, SAP, Workday, Epic, Snowflake, Databricks, Postgres and your internal APIs.
Every Tool Scoped Before It Goes Live
Read and write boundaries, role-based access and an approval path, agreed in writing first.
An Evidence Trail Your Auditor Can Read
Who asked, which tool ran, what it touched, what changed. Structured logs that feed your SIEM.
Your Existing SSO, Not a Second Directory
Okta, Entra ID or Ping, with per-user scope enforced through the OAuth plumbing you already run.
Guarded Against Agent Failure Modes
Input validation, prompt-injection and tool-poisoning defenses, rate limits and blast-radius caps.
Open Standard, So the Choice Stays Yours
We build to MCP, not to a vendor. Changing model providers later does not mean rebuilding.
Engineered to Clear the Security Review
Each framework below changes something concrete in the build. You get the control mapping with the code.
Control-Mapped by Design
Access control, change management and logging implemented as layer features, mapped to the criteria your auditor tests.
PHI Handled Under a BAA
Minimum-necessary scoping at the tool boundary, PHI masked before it reaches a model, and a signed BAA.
Cardholder Data Kept Out of Scope
Tokenised references and field-level redaction, so the agent path never becomes a new CDE to certify.
Deletion and Access Requests Still Work
The layer reads through your systems of record rather than copying data out, so consumer rights requests keep working.
Texas HB 300, NY SHIELD and Peers
Where residency or sector rules differ by state, the constraint lives in the tool scope, not in a policy document.
FedRAMP Boundary Deployments
For agencies and their contractors, we deploy inside an existing authorised boundary such as GovCloud.
Infominez is CMMI and ISO 27001 certified. Certification of your own environment stays yours. What we provide is an integration layer engineered so those controls hold, plus the documentation your assessors ask for.
Your Cloud Account. Your Network. Your Keys.
The layer runs where your data already lives. We do not introduce a new place for it to sit.
In Your VPC
Deployed into your AWS, Azure or GCP account behind private networking, with your KMS keys and your IAM. We hold no copy.
On-Premise or Private Cloud
For core banking and clinical systems that cannot leave the datacenter, the same layer ships self-hosted behind your firewall.
Bring Your Own Model Endpoint
Bedrock, Azure OpenAI, Vertex or a self-hosted model, pinned to US regions with zero-retention verified in configuration.
Real Work, Pulled From Systems You Already Run
The Workloads That Pay for the Build First
Each of these starts the same way. A system holds the answer, and someone is paid to go and fetch it by hand.
Dispute and Exception Handling
Transaction history, prior contacts and policy context assembled in one call, so the analyst decides instead of searching.
Prior Authorization Context
Read across EHR, claims and eligibility under minimum-necessary scoping, with PHI masked before the model sees it.
Inventory and Fulfilment Exceptions
Live stock across DCs and stores, with the orders about to miss their promise date routed to whoever can fix them.
Shipment Status Without the Portal Tour
One question spanning TMS, carrier APIs and the ERP, answered from live data instead of four tabs.
Reconciliation With Evidence Attached
Matching transaction sets pulled across systems, breaks surfaced, and the supporting documentation assembled.
Pipeline Truth Across CRM and Billing
Deal stage cross-referenced against invoicing and usage, so you see the accounts that genuinely need attention.
From System Map to a Layer in Production
A deliberate sequence. We understand the environment before we design, and design before we build.
System & Control Mapping
Systems in scope, where data lives, how it can be reached, which compliance boundaries apply. You get a build plan and a data flow diagram.
Tool & Scope Design
Tool schema, read and write scopes, role mapping and approval checkpoints, signed off with your security team before code ships.
Build & Validation
Built and validated against your live systems in a non-production environment first, so daily operations keep running untouched.
Connection & Handover
Your agent platform connected and workflows configured, handed over with runbooks, the security pack and operational support.
Built around your environment. Tested against your live systems. Documented for the people who have to approve it.
Connected Does Not Mean Uncontrolled
Access You Define. Actions You Can Prove.
Opening production systems to an agent is a governance decision first. Every boundary is agreed in writing before the first tool is exposed.
Built for How American Enterprises Buy
The commercial details that decide whether a project starts this quarter or next.
US-Hours Overlap
Daily overlap with Eastern and Pacific hours for standups, incident response and reviews.
Your Paper, Not Ours
We work under your MSA and SOW, sign your BAA and DPA, and accept your IP assignment terms.
Security Questionnaire Ready
CAIQ, SIG and bespoke questionnaires answered from an existing evidence pack.
Fixed-Scope First Phase
Mapping is fixed price and fixed duration, so the first cheque buys a decision.
Named Engineers
The engineers who map your systems are the engineers who build the layer.
You Own the Code
Source, infrastructure definitions and documentation are yours at the end of every phase.
Engagements Sized to Where You Are
Start narrow, prove it in production, then widen. Every phase ends with something running.
| Engagement | What it covers | Typical shape |
|---|---|---|
| Start HereSYSTEM MAPPING | A fixed-scope assessment of your stack, access paths and compliance boundaries, ending with a costed build plan. | Typically 1 to 2 weeks. Fixed price. |
| Targeted BuildSINGLE-SYSTEM LAYER | One system and one well-defined set of tools, running in production before you widen the scope or the budget. | Typically 4 to 8 weeks end to end. |
| Full DeliveryMULTI-SYSTEM INTEGRATION | Several systems under one governed layer, with orchestration across the workflows that span them. | Phased, with a production milestone in each phase. |
| OngoingMANAGED EVOLUTION | Continued engineering as your systems, tools and agent workflows change, including periodic control reviews. | Monthly retainer, scaled to surface area. |
What US Buyers Ask First
No. In the standard deployment the layer runs inside your own AWS, Azure or GCP account, behind your networking and using your keys. We retain no copy. Where a hosted model endpoint is involved, it is pinned to US regions with zero-retention settings verified in configuration rather than assumed from a marketing page.
That is what it is designed for. You get a data flow diagram, a control mapping against SOC 2 trust services criteria, the tool scope register, the logging design and answers to the standard questionnaires. We join the review call rather than sending a PDF and hoping.
Tell Us What You Run. We'll Tell You What's Possible.
Most conversations start with a system map. Share the platforms you depend on and what you want an agent to be able to do. We will come back with a scoped build plan and an honest view of what your security review will ask.
Ready to Get Started?
Transforming businesses with data, AI/ML, and cloud solutions