Solutions
AI integration with your CRM, ERP, and APIs
AI integration connects a language model to the systems a business already runs. Lingows AI builds typed tool layers, middleware, and MCP servers so models can read and write in a CRM, an ERP, or an internal API safely, with authentication, validation, and audit logging on every call.
01What this is
A model with no access to systems can only talk. Integration is what turns it into something operational. The integration layer defines exactly which reads and writes are possible and under whose authority.
Lingows AI builds integrations as typed tools with schema validation on input and output. The model never receives raw credentials and never composes arbitrary queries against production data.
02Who this suits
Companies with a system of record
Salesforce, HubSpot, NetSuite, Dynamics, or a custom platform that holds the operational truth.
Teams adopting MCP
Organizations standardizing how AI clients reach internal tools and data.
Businesses with internal APIs
Engineering teams that already expose services and want models to use them correctly.
Multi system operations
Work that requires the same record to stay consistent across several platforms.
03How it works
- Step 01
Define the contract
Each capability becomes a named tool with a typed input schema, a typed output, and a written description of when to use it.
- Step 02
Enforce authorization
Tools run under a service identity with least privilege. Per user scoping is applied where the data is user specific.
- Step 03
Validate both directions
Input is validated before the call. Output is validated before it reaches the model, so malformed data does not become a hallucinated answer.
- Step 04
Log every call
Tool name, arguments, result status, latency, and caller are recorded for audit and cost analysis.
04Effort and timeline
| Item | Typical |
|---|---|
| Typical build | 3 to 10 weeks by system count |
| Interface | Typed tools, MCP servers, or middleware |
| Credentials | Server side only, never in the model context |
| Write access | Explicit allow list per tool |
| Audit | Full call logging from first deployment |
05Common failure modes
Giving the model raw database access
Arbitrary query access removes every guarantee about what the system can be made to do.
Untyped tool output
When a tool can return anything, the model will eventually be handed something it misreads.
Credentials in prompts
Anything in the context window can be surfaced. Credentials belong in the server, never in the message.
No rate or cost ceiling
An agent in a retry loop against a paid API is a budget incident waiting to happen.
CAPAI Integration capabilities
CRM Integration
CRM integration lets an AI system read and write customer records safely. Lingows AI builds typed tool layers over Salesforce, HubSpot, Dynamics, and similar platforms, with field level write scoping, deduplication rules applied before any create, and a logged record of every call the model makes.
ERP Integration
ERP integration connects AI systems to the platform that holds inventory, orders, and financial records. Lingows AI builds ERP integrations read first, adds write access only behind approval gates, reconciles every posted transaction against its source, and retains a full audit trail for finance review.
API Middleware
API middleware sits between a model and a company's internal services. Lingows AI builds that layer as typed tools with authentication, schema validation in both directions, rate limiting, caching, and per call logging, so services stay protected regardless of what the model attempts to do.
MCP Servers
A Model Context Protocol server exposes a company's tools, data resources, and prompts to AI clients through one standard interface. Lingows AI designs, builds, hosts, and operates custom MCP servers so several AI applications can reach internal systems without a separate integration for each client.
FAQQuestions
Common questions
Which systems can you integrate?
Anything with an API. Common work covers Salesforce, HubSpot, NetSuite, Microsoft Dynamics, QuickBooks, Zendesk, and internal services. Systems without an API are handled through supported export and import paths.
Is MCP required?
No. MCP is one interface option and a good one when several AI clients need the same tools. A direct typed tool layer is simpler when only one application consumes it.
How is access controlled?
Tools run server side under least privilege service credentials, with an explicit allow list of permitted operations and full call logging. The model receives results, never credentials.
Last reviewed 2026-08-16
NEXTRelated pillars
- Multimodal AI
Multimodal AI works with inputs beyond text: scanned documents, photographs, audio, video, and sensor readings. Lingows AI builds production systems that extract structure from those inputs, route the result into business workflows, and generate media where a business needs it at volume.
- AI Strategy Consulting
AI strategy consulting answers three questions: where AI would pay off in this business, what has to be true before it works, and in what order to build. Lingows AI runs readiness audits, writes sequenced roadmaps, trains internal teams, and drafts governance policy people can actually follow.
Scope a ai integration build
Bring one process and its numbers. Lingows AI will tell you what is worth automating, what is not, and what running it in production costs.