AI integration
AI integration and agent development
Production AI built into the systems you already run: language-model features, agents that act through your tools, search over your own documents, and computer vision. Built to be measured, reviewed and maintained, not demoed once.
AI that does work, with a person where it matters
Useful AI systems are rarely a chatbot in a corner. They read the email, pull the record, draft the reply and wait for approval; or they watch a camera feed and flag what a person should look at.
We build agent systems with tool use, memory and multi-channel integration, with human-in-the-loop review where accuracy or regulation demands it.
Integrations use established cloud AI providers chosen for the task, with a clear design for what data is sent where.
What you get
Scope of work
- 01
LLM features
Summarizing, drafting, classifying and extracting, added to your existing software and workflows.
- 02
AI agents
Agents that use your tools and APIs to complete multi-step tasks, with approval steps where needed.
- 03
Search over your documents
Question answering over your own knowledge base, with sources cited in every answer.
- 04
Assistants
Customer- or staff-facing assistants grounded in your content and connected to your systems.
- 05
Computer vision
Custom classification and detection models, from training data to deployment.
- 06
Evaluation & monitoring
Test sets, accuracy tracking and cost monitoring, so you know it still works next month.
How it works
Four phases, each with a clear exit
- 01
Define success
The task, the measure of a good result, and the cost of a wrong one.
- 02
Prototype on your data
A working version tested against real examples before any build-out.
- 03
Production build
Integrations, review steps, logging and monitoring.
- 04
Operate & improve
Accuracy and cost tracked after launch, with fixes as data and models change.
Fit
Who this is for
A good fit
- Businesses with a defined, repetitive task that eats skilled people's time
- Products adding an AI feature to existing software
- Teams whose AI pilot worked and now needs to run reliably
Not the right fit
- Large standalone app builds where AI is a small part. We'll bring in an app partner for those.
- Self-hosted or on-premises model deployment.
Founder-led
Hands-on, start to finish.
Every project is led by Luke Libraro, hands-on from the first schematic to the factory floor to the fleet dashboard.
Luke brings 15+ years of engineering and product leadership across hardware, firmware, cloud and AI. No account managers: the person who scopes your project leads the work. We build the first web experience, from dashboards to companion web apps, alongside the device, and bring in partner teams when an app needs to scale.
- Frost SolutionsCTO from launch; designed and built the hardware
- Rocket WagonCo-founder & CTO · 2015–2023
- VisiPillHardware team lead
- Light for HopeHardware lead, at Rocket Wagon
Enclosures, in-house or with expert partners
We design your enclosure in-house or bring in expert mechanical engineering and industrial design partners, so the product is beautiful, functional and built to work in the field. Already have a design team? We work alongside them.
FAQ
Common questions
What are AI integration services?
Work that connects AI models to the systems and data a business already uses (CRM, email, documents, databases, internal tools) so AI carries out real tasks instead of living in a separate chat window.
What is an AI agent?
Software that uses a language model to plan steps and call tools or APIs to complete a task, such as looking up an order, updating a record and drafting a reply. Good agents include limits, logging and human approval for actions that matter.
How do you keep AI accurate?
By grounding answers in your own data with sources, testing against real examples before launch, adding human review where errors are costly, and monitoring accuracy after release.
What happens to our data?
Which data goes to which AI provider is designed up front. We use providers’ business terms that exclude training on your data where available, and keep sensitive steps behind review.
Tell us what you’re building.
A short call is usually enough to know whether we’re the right fit, and what the first phase should prove.
hello@farad.dev