AI Integration &
Workflow Automation
Less manual work. More leverage.
We build AI integrations, voice assistants, and workflow automation that connect to your systems and eliminate the work your team shouldn't be doing by hand.
AI adoption has a middle-market gap.
88% of organizations have adopted AI in at least one business function. Most small and mid-sized businesses haven't, and the market isn't making it easy.
Enterprise AI agencies start at $60K and scope six-month engagements. Off-the-shelf "AI-powered" tools give you a chatbot wrapper with no access to your actual data. Businesses either overpay for capability they don't fully need, or bolt on generic tools that don't integrate with how they actually operate.
AI is useful when it's connected to your systems, grounded in your data, and built into the workflows your team already uses. That's what we build.
Not sure if you need AI? See what a custom build looks like firstAI and automation built into how you work.
AI That Works With Your Data
Generic language models know nothing about your business. We build integrations that connect models to your databases, documents, and internal systems. This is retrieval-augmented generation (RAG): your data stays where it is, the model pulls what it needs at query time. Answers are grounded in your information, not the model's best guess.
No fine-tuning required. No data migration. No vendor lock-in. The RAG market is projected to grow from $1.2 billion to $11 billion by 2030.
Streaming Interfaces
AI responses that appear in real time reduce perceived wait times, let users course-correct mid-response, and make longer outputs usable instead of frustrating. We build streaming into every AI-facing interface.
Whether it's a customer-facing chat, an internal research tool, or a code generation platform, the output arrives as it's generated. No loading spinners. No waiting for a wall of text.
Voice AI Assistants
Real-time, bidirectional audio. Not a recording that gets transcribed and emailed back an hour later. Our voice assistants handle live conversations with tool use mid-sentence: checking calendars, booking appointments, pulling records, confirming details.
Production-grade guardrails keep the assistant on task and prevent it from making commitments it can't keep. Where voice AI pays off, and where it doesn't.
Workflow Automation
Not every automation needs AI. Some processes just need the right system connecting the right data at the right time. We build automated pipelines that replace copy-paste workflows, manual data entry, and the five spreadsheets holding your operations together.
Notifications, routing, reporting, document generation. If your team does it the same way every time, it should run itself.
What We've Shipped
Streaming AI code generator
A SaaS platform serving a global user base across seven languages. Real-time streaming output, tiered subscription plans, and multi-currency payments. Built end to end: front-end, back-end API, billing, authentication, and deployment infrastructure.
Outcome
Concept to production with paying subscribers across multiple countries.
Voice AI scheduling assistant
Bidirectional audio streaming with mid-conversation tool use. The assistant checks availability, books appointments, and confirms details without putting the caller on hold or handing off to a human.
Outcome
Production-grade prototype with calendar integration and conversation guardrails.
Unified operations platform
A company ran hiring, delivery logistics, payroll, and tax reporting across five disconnected tools. We replaced all of them with a single platform. The automation layer handles routing, notifications, and report generation that used to take hours of manual work each week.
Outcome
Five tools became one. Hours of daily manual data entry dropped to minutes.
Working on something similar?
Let's talkAI is not always the answer.
If your process is unclear, changes weekly, or hasn't been done manually enough times to understand the edge cases, automating it locks in the chaos. We start by understanding the workflow. If it's stable and repeatable, automation gives your team leverage. If it's still in flux, we recommend getting the process right first.
Not every integration needs a custom model, either. Sometimes the right answer is a well-structured prompt with good retrieval. Sometimes it's a rule-based system that doesn't involve AI at all. We recommend the approach that fits the problem, not the one that sounds most impressive.
Need the custom build first? See our development servicesFrom workflow to working software.
Map the workflow.
What's manual today? Where does data move between systems? Where do errors or delays happen?
Identify the highest-value target.
Not everything needs automating at once. We start with the process that costs the most time or creates the most errors.
Build a working version fast.
You test real software within weeks, not a slide deck at month three.
Integrate and expand.
Once the first automation is running, we connect adjacent workflows and add intelligence where it helps.
You see working output early. Each round of feedback shapes what comes next.
How we keep it running after launchFrequently Asked Questions
Do I need a large dataset to use AI?
How long does an AI integration take?
Will this work with our existing systems?
What happens when a better AI model comes out?
How much does AI integration cost?
What if we're not sure where AI fits?
Have a process you want to automate?
Tell us what's slowing your team down. We respond within one business day with questions and a rough scope.
Get in touch