An AI pilot cannot cross the production gap.
The demo works, but data quality, permissions, evaluation, economics, or operating ownership remain unresolved.
Decision · scale, revise, buy, or stopStrategy through production● Serving organizations nationwideCharleston roots · national reach
Systems that know your business. And move it forward.
Palmetto Interactive helps executives turn fragmented knowledge and high-value workflows into trusted AI systems. We combine agentic AI, knowledge graphs, ontology engineering, and production architecture from strategy through delivery and handoff.
From complex knowledge to working systems
- 01Frame the business decision
Outcome, workflow, economics, constraints, and operating owner.
- 02Connect business meaning
Data, documents, policies, systems, relationships, and provenance.
- 03Put the system to work
Tools, permissions, evaluation, human judgment, and business measurement.
Business measuresDecision speed · manual effort · trust in automation
BUILT FOR · BUSINESS-CRITICAL WORK · ENTERPRISE DELIVERY
Start with the business constraint.
Then earn the technology.
Palmetto works with executive, technology, data, product, and operations leaders when a consequential decision or knowledge-intensive workflow needs a practical path forward.
Critical knowledge is fragmented.
Policies, documents, data, and expert judgment live in different systems. Teams do not always mean the same thing by the same words.
Measure · answer quality, provenance, reworkA valuable workflow is still manual.
People spend their time gathering context, reconciling sources, routing exceptions, and moving work between systems.
Measure · cycle time, touches, exceptionsLeadership needs an independent decision.
The organization needs to know what to fund, what to integrate, what to govern, and what not to build before more budget is committed.
Decision · build, buy, sequence, or deferExecutive teamsfund the right workTechnology & data leadersmake it operableProduct & operations leadersmake it useful
Four connected disciplines.
One commercial outcome.
Agents need trustworthy knowledge. Knowledge graphs need a job. We connect both to the architecture and ownership required to ship.
01
Agentic AI systems
Agents that use real business tools to finish useful work, with permissions, evaluation, and human control.
- · workflow agents & copilots
- · tool use · orchestration · evals
- · human approval where it matters
- · observability · safe rollout
02
Knowledge graphs & ontologies
Shared definitions for data, policies, and expertise so people and AI reason over the same context.
- · ontology & semantic modeling
- · knowledge graph architecture
- · entity resolution · provenance
- · GraphRAG · conversational data
03
Data & AI architecture
Retrieval, integration, governance, and evaluation that still work after the demo.
- · AI-ready data foundations
- · retrieval · memory · provenance
- · integration & governance
- · platform & operating model
04
AI products & workflow automation
From a validated workflow to a product the team can run: pilot, integration, rollout, and handoff.
- · workflow & product framing
- · production-shaped pilots
- · integrations · interfaces · controls
- · rollout · runbooks · handoff
Industries
Where the work is specific.
Three industries. Named workflows. The linked examples are anonymized experience, not endorsements.
Financial Services
When a critical service fails, the map of what else fails is still in spreadsheets.
Operational-resilience mapping
Which services ride on which systems, teams, and vendors. Query it. Do not rebuild it when a regulator asks.
Operational-risk graphs
Risks, controls, processes, and incidents in one structure. Not four taxonomies stitched together at reporting time.
KYC/AML entity resolution
Customer, entity, and account relationships visible for review. Not reconstructed in the middle of an investigation.
Insurance
Underwriters and adjusters still rebuild the same policy file by hand.
Underwriting assist
Submission, risk, and prior claims in one view so the underwriter can decide.
Claims triage
First notice arrives with the context the adjuster needs to take the file.
Policy & coverage semantics
One governed definition of coverage across lines of business. Analytics and AI use the same language.
Manufacturing
The part, the fault code, and the last fix still live in people and PDFs.
Field-service copilot
Answers from equipment history and manuals, not a search box over a document pile.
Parts & BOM intelligence
Which part fits which machine, across models and revisions, without plant-by-plant reconciliation.
Supply-chain resilience
Which suppliers and lines fail together when a part goes short.
Knowledge systems delivered
where consequences are real.
Three anonymized programs. Not proof, references, or endorsements.
01Financial Services
Operational-resilience mapping
What breaks if this service fails — queryable, not reconstructed.
Global asset manager
02Financial Services
Operational-risk graphs
Risk, control, process, and incident data in one assessable structure.
North American bank
03Manufacturing
Agentic AI deployment on an enterprise graph
Agents working from one governed map of plant and business data.
Global agricultural equipment manufacturer
More work across continuity, operational risk, insurance semantics, and current Palmetto delivery.
Selected work →Buy the decision and capability
the moment requires.
Start with a defined outcome and a focused path to it. Each engagement has clear deliverables, working sessions, decision points, and an ownership plan.
Engagement 01
Executive AI & knowledge diagnostic
What should we fund, and what should we avoid?
Buyer receives
- opportunity and workflow map
- value, readiness, and risk case
- target architecture and sequenced roadmap
Engagement 02
Knowledge foundation sprint
What must people and systems agree on?
Buyer receives
- competency questions and domain model
- ontology, graph, and source mapping
- provenance and stewardship plan
Engagement 03
Production-shaped agent pilot
Can this workflow create measurable value safely?
Buyer receives
- working slice with representative data
- evaluation and control baseline
- cost, scale, revise, or stop recommendation
Engagement 04
Scale & operating partnership
How do we productionize and transfer ownership?
Buyer receives
- integrations and production controls
- observability, runbooks, and enablement
- ownership transfer or retained leadership
Quillby Palmetto InteractiveYou remember the thing.
Not where it lives.
A decision from an old project. A photo you can almost picture. A person you recognize but cannot place. Quill searches the files, photos, projects, and relationships behind your memory. Then it brings back the evidence.
Preview Quill →The problem
You remember the context, not the location.
01Decisionburied in work
02Memorymissing a name
03Connectionmissing the why
Quill
Ask naturally. Get the trail back.
Matt Lucas with his family in the Lowcountry
Section 05 · Founder & principal
Executive perspective. Builder's accountability.
Matt Lucas is a Charleston-area technology executive and the founder of Palmetto Interactive. His experience includes Field CTO for Financial Services at Stardog, nearly ten years at Morgan Stanley including as an Executive Director of global technology delivery, and earlier architecture roles at IBM and OpenPages.
He stays accountable from the first framing conversation through architecture, delivery decisions, and handoff. Palmetto works with leadership teams, operators, internal technologists, and chosen vendors so the client can own what ships.
- Senior leadership from framing to handoff
- On-site collaboration across major U.S. markets
- Built to strengthen the client's own team
The thinking behind
the delivery.
Practical field notes from Palmetto, alongside selected talks and writing from Matt's enterprise technology career.
Palmetto field notes
Product previewYou Remember the Thing. Not Where It Lives. Meet Quill.Introducing Quill, a coming-soon membl product for finding half-remembered decisions, moments, people, and projects—with the evidence attached.→HiringHow to Hire an AI Consultant in Charleston, SCAn executive buyer’s guide to scoping an AI engagement, evaluating consultants, comparing proposals, and buying a production-ready outcome.→Agentic AIWhat Is an Agentic AI System?Agentic AI systems are controller-bounded workflows using models, tools, state, and verification. Learn how they work and when to build one.→View all field notes →Questions, answered plainly.
What we do, how engagements are shaped, where work happens, and how to start. If your question is not here, start a conversation and ask it directly.
What does Palmetto Interactive do?
Palmetto Interactive is a national consultancy, based in Charleston, for agentic AI, knowledge graphs, ontologies, data and AI architecture, and practical AI products. Engagements are built for regulated institutions, global enterprises, and other organizations with real knowledge and workflow complexity.
Where is Palmetto Interactive located and what areas do you serve?
Palmetto Interactive has Charleston roots and serves organizations nationwide, with on-site collaboration across major U.S. business markets.
How much does it cost to work with Palmetto Interactive?
We work in four common shapes: Working session, Production Readiness Assessment, Production pilot, Build & operate / advisory. The working session establishes fit before either side commits to delivery. Commercial terms are scoped after the working session and depend on the work required.
What makes Palmetto Interactive different from a typical AI agency?
We connect agentic AI to the knowledge, ontology, architecture, and operating controls that make it useful in production. We match the solution to the business need and carry the question through delivery with measurable outcomes.
Which organizations does Palmetto serve?
Palmetto works best where fragmented data, governance obligations, operational risk, or cross-functional complexity make a connected knowledge layer valuable. Typical engagements include ontology design, knowledge graphs, governed agent platforms, and enterprise delivery programs.
Which industries does Palmetto know?
Financial services, insurance, and manufacturing are where we work most. For banks and asset managers, that's operational resilience, risk, and compliance. For insurers, underwriting, claims, and policy semantics. For manufacturers, field service, parts, and supply-chain intelligence. Selected anonymized examples are available on the work page. They are experience descriptions, not independent verification.
How do I start a project with Palmetto Interactive?
Use the contact form or email [email protected] with the decision, workflow, or knowledge problem you are trying to improve. We review the context and start with a working session before recommending an assessment, pilot, or ongoing engagement.
Start with the problem.
Tell us where knowledge is trapped, work is repetitive, or a decision is harder than it should be. We will turn that context into a clear next step.