AI Integration & API Engineering Services
Connect AI to the systems you already run, including the old ones
Integration is where most AI projects actually fail. A model that cannot read your data or write back into your systems is a demo. We build the connective layer: authentication, sync, error handling, and audit trails between AI systems and the software your business already depends on.
- Compatible
- LegacyCompatible
- Safe retries
- IdempotentSafe retries
- Every write
- AuditedEvery write
Typical stack
- REST
- GraphQL
- Webhooks
- Docker
- Postgres
Why this keeps costing you
Your operational reality is a CRM, an ERP, a scheduling tool, a billing platform, some spreadsheets, and at least one system old enough that its documentation is a PDF from 2011. AI vendors assume clean modern APIs. The gap between that assumption and your stack is the project.
Inside an AI integration layer we ship
- Bidirectional sync between AI systems and CRM, ERP, and operational databases
- Legacy system integration via SOAP, flat files, SFTP, or direct database access
- Secure credential handling with OAuth, service accounts, and rotation
- Idempotent writes and reconciliation so retries never duplicate records
- Rate limit handling, backoff, and queueing under load
- Complete audit logging of every read and write for compliance review
The part most implementations skip
We build integrations that expect failure. Third-party APIs go down, rate-limit, and change without warning. Queued writes, idempotency keys, retry policies, and reconciliation jobs are standard, not extras — because a sync that silently drops records erodes trust in the whole system.
What you actually receive
- Integration map showing every system, direction, and field mapping
- Deployed connectors with staging and production environments
- Monitoring on sync health, lag, and failure rates
- Reconciliation reports proving both sides agree
- Credential and access documentation for your security review
AI Integrations in your sector
How ai integrations plays out in the industries we work with most.
Common Questions
- Our main system has no modern API. Is it hopeless?
- Rarely. Scheduled database reads, file exports over SFTP, and even robotic UI automation are all viable when nothing better exists. It changes the latency and the design, not the feasibility.
- How do you handle our security requirements?
- Least-privilege service accounts, secrets in a managed vault, encryption in transit and at rest, and audit logs your team can inspect. If you need everything inside your own VPC, we deploy there.
- What if a third-party API changes?
- Contract tests run against every integration on a schedule, so a breaking change surfaces as an alert rather than as a user reporting missing data three weeks later.
Often built alongside this
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