Where AI programs actually succeed or stall.
The distance between a working demo and a production system is integration: identity, data boundaries, legacy APIs, and audit. We specialize in exactly that distance.
The pattern we keep seeing.
An enterprise runs a successful pilot. The model performs, the business sponsor is convinced, the deck is written. Then the initiative meets the estate: single sign-on, data residency, an ERP with an API designed in 2009, an approval chain with four owners, and a security team asking reasonable questions nobody prepared for. Eighteen months later the pilot is still a pilot.
None of this is a reason to slow down. It is a reason to treat integration as the main work rather than the last mile. Enterprises that do so ship; the rest accumulate proofs of concept.
What we integrate.
Core systems
SAP, Oracle, Dynamics, Salesforce, ServiceNow, and the industry-specific platforms that never appear on vendor slides but run your business.
The data layer
Warehouses, lakes, and document stores, with retrieval pipelines that preserve existing permissions rather than flattening them.
Channels
Email, contact-center stacks, WhatsApp Business Platform and Meta channels.
Identity and governance
SSO, role-based access at the agent and tool level, approval workflows, and an audit trail covering every action AI takes.
The model layer
OpenAI, Meta Llama, and other frontier models behind a gateway you control, with routing, caching, and cost management, so a model change is a configuration decision rather than a project.
How we approach it.
Assessment
Two weeks mapping systems, data flows, security posture, and the constraints that will actually bind. We have yet to find an estate without surprises; better to find them here.
Reference architecture
A design written for your security and architecture review, covering data boundaries, the access model, and failure modes. We would rather spend a week here than a quarter in exception processes later.
Connective tissue
APIs, event pipelines, and middleware built with least-privilege access as the default, not the hardening step.
One workflow, fully live
Depth before breadth. A single workflow running end to end in production teaches more than five parallel pilots, and earns the trust that the next five will need.
Enablement or operation
Documentation and handover to your teams, or continued operation by ours. Both are legitimate; we will tell you which fits your organization.
Relevant background.
Our founder spent six years leading API-first programs at Mastercard, where integration discipline is not optional. ISO 27001 certification governs how we handle your systems and data throughout.