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AI Integrations & API Development

Wire AI Into the Stack You Already Run

We build the APIs and integrations that connect AI and LLMs to your CRM, databases, and internal tools, so intelligence flows between systems instead of sitting in a browser tab nobody uses.

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Production-grade APIsWorks with your stackOrchestrated end to end
Why it matters

A Model Is Useless Until It Reaches Your Systems

Most teams already have an LLM they like and tools they depend on, but nothing joins the two. Good AI integration services close that gap: they move data, calls, and decisions between your model and the systems your business actually runs on, so the intelligence shows up where the work happens instead of in a demo.

The hidden cost

What Disconnected Tools Really Cost

When AI cannot read from your CRM or write back to your database, someone copies and pastes the output by hand. That reintroduces the delay and error you paid to remove, caps how far any AI project can scale, and leaves half-finished integrations that break quietly every time an upstream tool changes.

What you get

Integration Engineering, Done Properly

We design the connections, build the APIs, and orchestrate the flow between your models and your tools, all tested against real traffic.

Custom API Development

We build clean, documented APIs that expose your AI to the rest of your stack and let your stack call it back.

LLM Integration

We connect OpenAI, Anthropic, and open models into your apps with routing, retries, and cost controls built in.

Workflow Orchestration

We coordinate multi-step flows across services, so data and decisions move between tools in the right order every time.

System and Tool Connectors

We wire AI into your CRM, inbox, docs, and databases through their APIs, working inside the tools you already have.

Auth, Security, and Rate Limits

We handle keys, tokens, permissions, and throttling so integrations stay safe and stable under real load.

Logging and Observability

We instrument every call and hand off, so you can see what ran, what failed, and what each request costs.

How it works

From Isolated Tools to a Connected Stack in Four Steps

A clear path from a model that sits on its own to APIs and integrations your systems rely on daily.

1

Map

We map your systems, data flows, and the connections that would remove the most manual work.

2

Design

We design the API contracts and integration architecture, then agree the interfaces before we write code.

3

Build

We build and connect the APIs, then test them hard against real payloads, failures, and edge cases.

4

Deploy

We ship to production with monitoring in place, document everything, and hand your team a system they can trust.

Engagement options

Ways to Work With Us

US dollars. The audit fee is credited in full against a build signed within 60 days. See AI Enablement for how each part works.

Audit
$3,000 fixed, credited to a build
A written plan of what to automate first.
  • ✓Interviews with the people who do the work
  • ✓Five to ten opportunities, ranked
  • ✓A written report you keep
  • ✓Takes two to four weeks
Book a Call
Fixed price
Build
$15,000+ fixed once the scope is agreed
One workflow or a small bundle, built and accepted.
  • ✓A written scope with acceptance tests
  • ✓Built in your own tools where possible
  • ✓A person approves before data changes
  • ✓60 days of fixes after acceptance
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Retainer
$8,000 per month
Month-by-month building, training and support.
  • ✓Building from your priority list
  • ✓Training sessions and office hours
  • ✓Review of every new request
  • ✓Monitoring and a monthly report
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Why Engineered With AI

Why Businesses Choose Engineered With AI

We are engineers who ship integrations that survive real traffic, real data, and real change, so your AI keeps working long after launch instead of breaking the first time an upstream tool updates.

✓

Engineers, not hype

We build APIs that hold up in production, with retries, logging, and error handling, not scripts that fall over on the first bad request.

✓

Fits your stack

We integrate through the APIs of the tools you already run, so nothing forces your team to change how they work.

✓

Documented and owned

You get clear docs and clean contracts, so your developers can extend the work without reverse-engineering it.

✓

Built to scale

We design for the volume you will hit later, so the integration grows with you instead of capping you.

Real results

What Our Clients Say

★★★★★

“They connected our LLM to our CRM and internal database through a clean API. Data now moves on its own, and the docs meant our team could build on top of it.”

MK
Marcus KellerCTO, Denver SaaS
★★★★★

“We had three tools that never spoke to each other. Their orchestration layer ties them together, and it has not gone down once since launch.”

ER
Elena RossHead of Ops, Manchester Ecommerce
★★★★★

“Proper integration engineering. Auth, rate limits, logging, all handled. We can finally see what every AI call costs and what it did.”

TR
Thomas ReyesVP Engineering, Vancouver Fintech
Common questions

AI Integrations & API Development: Your Questions Answered

What are AI integration services?
They cover the engineering work that connects AI and LLMs to the systems your business already runs. That means building APIs, wiring up your CRM, databases, and internal tools, and orchestrating how data and decisions move between them, so the model does real work instead of sitting apart from your stack.
Which AI models and tools do you work with?
We integrate the major hosted models such as OpenAI and Anthropic, along with open-source models where they fit. On the tools side we connect CRMs, inboxes, databases, document stores, and internal apps through their APIs, so the AI works inside the systems you already use.
Do you build APIs from scratch or connect existing ones?
Both. We build custom APIs that expose your AI to the rest of your stack, and we integrate with the APIs of the tools you already run. Where a tool has no clean API, we design the connector and orchestration layer that makes it work reliably.
How long does an integration take to build?
A single focused integration or API typically goes live in a few weeks. We start with the connection that removes the most manual work, prove it in production, then expand from there rather than building everything at once.
How do you keep integrations stable in production?
We build in retries, error handling, auth, and rate limits, and we instrument every call so failures surface fast. We also monitor upstream changes, so when a connected tool updates its API, the integration is maintained rather than left to break quietly.
Do you provide ongoing support after launch?
Yes. The monthly retainer keeps your integrations monitored, tuned, and maintained in production, and adds new connections as your systems grow, so the work keeps returning value instead of drifting after go-live.

Ready to Connect Your AI to the Rest of Your Stack?

Book a call and we will map where your systems are disconnected, then show you exactly which integration we would build first.

Book a Call