AI Built into the Systems You Already Run
Put AI to work inside your business systems, so it shows up in your team’s daily work. Work with a trusted partner for impact you can see.
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Years in Business
AI Pays Off Once It Reaches Your Real Data
AI only produces value when it can read and act on your actual records. For many companies, these records live in old, customized, and load-bearing systems. Picture an operations database holding a decade of order history, or a CRM shaped by years of custom workflows and access rules.
Getting AI into those systems safely requires careful work, work our team has been doing for more than 22 years. We build tailored solutions to fit your business needs, and now we build AI into them too.
What We Build
AI Readiness and Data Groundwork
We identify the use cases worth building, assess your data, and set security and access boundaries before any build starts.
Document and Data Intelligence
Pull information out of contracts, invoices, claims, forms, and inbound email, then route it into the systems where your team works.
Workflow Automation and AI Agents
Hand repetitive steps like triage, routing, drafting, and follow-up to agents that run inside the applications your team already uses.
AI Assistants Grounded in Your Data
Get the answers you need, pulled from your own records and data. Every answer cites its source and respects existing permissions.
Experience Inside the Systems That Run Your Business
Custom and legacy applications.
Many companies run on applications built up over years, holding data nobody else has. We know how to build AI into those systems without putting that data at risk.
Systems of record.
AI has to read and write real data inside your existing rules, workflows, and permissions, so we prioritize design for that.
Your security boundary.
Your AI can run in your own cloud environment or your own hardware, so your data stays under your control.
Integration and plumbing.
Most of applied AI is connecting systems. That’s the work our team does every day, on platforms like FileMaker, Salesforce, and AWS.
Guardrails Are Standard
Most leaders we talk with feel more nervous about AI than excited, which is a reasonable place to start. Every build we deliver includes external guardrails, output validation, evaluation testing, audit logging, and human review on decisions that carry real consequences. We scope governance into every project from day one, so you never have to buy it later as an add-on.
Securing AI with External Guardrails
Learn why an AI model shouldn’t be trusted to police itself and how to set up external guardrails for the AI your organization deploys.
How an Engagement Moves Forward
We start small, prove value on real work, and grow from there. Each stage has a clear deliverable, so you can decide what comes next.
AI Opportunity Assessment
Analyze your AI opportunities with our team to get a ranked list of use cases with effort and ROI estimates. You also get an honest read on your data, security recommendations, and a scoped plan for the first build.
Applied AI Pilot
We put one use case into production with real users. Before any work begins, we set a baseline so you can measure results against it.
Scale and Operate
Once the pilot delivers ROI, we add use cases and keep what’s live running smoothly through monitoring and ongoing support.
Green Touch Services found 7 services losing margin for 3 years
Green Touch Services, a landscaping company, had years of job and cost data in a custom FileMaker application but little insight into it. We cleaned up more than a million rows of data, allowing them to use Sprout, an AI agent grounded in that data, 7 services losing margin for 3 consecutive years.
Your Applied AI Partner
Our Applied AI Services work best for organizations that:
- Run core operations on established business systems or custom applications
- Have years of historical data, heavy document volume, or a lot of repetitive manual work
- Want to solve a specific operational problem
- Have little or no in-house data science capability
Put AI to work inside the systems your team already trusts. Contact our team to kick off a conversation with an AI Engineer.
Talk to an AI Consultant
Tell us about the problem you want to solve. We’ll help you figure out where AI fits and where it doesn’t.