AI implementation built around your service firm
Precision AI OS helps service firms plan, build and run AI around the work and systems they already have. We start with work that is still manual, name a bounded first workflow, and define how people review its output.
Where your firm needs help
Scattered records, repetitive preparation, missing documents and handoffs between people are common reasons a firm looks at AI. Those are symptoms. They do not mean every job needs a custom agent.
The useful distinction is what your current tools already do, what a data pipeline should gather, and which single job is worth a first agent.
Six services, one delivery relationship
From strategy through ongoing operation, we bring the services together around your firm’s priorities.
- AI data pipelineProblem. Firm and client information sits in separate systems, documents and spreadsheets.Deliverable. A pipeline that connects, cleans and organizes that data around each client, without replacing the tools your team uses.
- AI agentsProblem. Preparation still depends on people pulling answers from scattered knowledge.Deliverable. Agents that prepare work from your pipeline and firm brain, with your people approving what goes to a client.
- Firm brainProblem. Procedures, standards and past decisions live in a few people's heads.Deliverable. A private knowledge base the pipeline builds from the documents and systems you already have.
- AI strategyProblem. It is unclear which work should come first, and what data that work needs.Deliverable. A ranked shortlist, a data map and a first-build plan you can keep.
- Managed AIProblem. A pipeline and its agents drift as the firm, its clients and the models change.Deliverable. Day-to-day operation, monitoring and improvement, with one accountable partner local to South Florida.
- AI governanceProblem. Client data has to move through the pipeline under the firm's controls.Deliverable. Isolation, encryption with keys unique to your firm, zero-retention terms for language models, and a permanent record of approvals and model calls.
Choose the first workflow
A first workflow is a bounded job your team already does: a recurring handoff, a document check, or the preparation before a review. We look at the tools you already own, how often the work happens, whether the data can be reached, how exceptions are handled, and who reviews the output.
The discovery call is a conversation about one workflow and the systems involved. We discuss fit and a practical next step.
Read how we work for the delivery stages, andAI strategy for the ranked starting point.
Who it fits
For service firms of 20 to 500 people with recurring client work, scattered information and time-consuming handoffs.
Professional services: accounting and advisory, law, architecture and engineering, insurance, and consulting.
Related service operations: property management and agencies, when the work is client records, documents and handoffs.
Who joins: an owner or partner sponsors the work, a process owner who does the job takes part in review, and IT joins when the question is data access or security.
How success is measured
Before a build, we agree what to compare on that workflow: time spent preparing and reviewing, how exceptions are handled, and whether handoffs arrive complete.
South Florida delivery
For firms in Miami-Dade, Broward and Palm Beach, discovery and key reviews can happen in person. Day-to-day work runs remotely. The Miami page explains that coverage, including Fort Lauderdale and West Palm Beach, and what meeting locally means.
Discuss one workflow and the systems involved.