Custom AI Solutions
AI systems built around how your business actually works.
I design and build custom AI applications, agents, dashboards, and workflow automation for teams with specific processes that off-the-shelf tools cannot handle.
What Gets Built
Not slide decks. Working AI tools.
- Internal AI apps for research, analysis, and decision support
- Workflow automation that connects data, documents, and systems
- Dashboards that turn messy inputs into usable operating views
- AI agents and assistants with guardrails, review, and traceability
The Problem
Most AI tools are too generic for the work that matters.
Teams do not need another chat box. They need systems that understand their inputs, rules, approvals, data sources, and reporting needs.
Manual review loops
Important checks, comparisons, and handoffs live in spreadsheets and inboxes.
Fragmented data
Useful context is scattered across portals, exports, documents, and internal tools.
Generic AI output
Broad tools miss the domain logic, constraints, and evidence trail your team needs.
No path to production
Promising prototypes stall because no one connects the AI to real workflows.
The Approach
Custom AI, designed as operational software.
Map the real workflow
Clarify users, inputs, decision rules, exceptions, approvals, and success criteria.
Build the AI layer
Use retrieval, classification, extraction, reasoning, and generation where they fit.
Ship the tool
Deliver usable interfaces, automations, reporting, and review paths your team can adopt.
Solution Types
Useful AI systems for high-friction work.
AI audit and review systems
Compare records, policies, documents, or transactions against custom business rules.
Operational dashboards
Unify messy data into decision-ready views with alerts, filters, and drilldowns.
Research and intelligence tools
Monitor sources, summarize changes, classify findings, and prepare briefings.
Document and data extraction
Turn PDFs, spreadsheets, emails, and forms into structured data and review queues.
Internal copilots
Give teams a guided assistant that can answer from approved knowledge and workflows.
Workflow automation
Connect tools, trigger actions, prepare drafts, and route exceptions for human review.
Built-In Guardrails
Custom does not mean fragile.
The goal is a system your team can trust, inspect, and improve as the process changes.
Source-linked outputs
Answers and summaries can reference the documents, records, or data that shaped them.
Useful when teams need confidence, not black-box guesses.Human review where it matters
Automate the repetitive work while keeping approvals and exceptions visible.
Useful when accuracy, compliance, or client trust matters.Designed for your data model
Custom schemas, workflows, and integrations prevent AI from becoming another silo.
Useful when your process does not match a generic SaaS workflow.Improves with usage
Feedback loops, logging, and admin controls make the system easier to tune over time.
Useful when the first version needs to become a durable operating tool.How It Works
A focused path from messy process to working AI system.
Discover
Map the workflow, users, data sources, rules, and output requirements.
Prototype
Build a focused proof of value using real examples and expected edge cases.
Productionize
Add the interface, automation, permissions, logging, and review flows.
Improve
Measure usage, tune prompts and logic, and expand the system where it proves value.
Next Step
Bring the workflow. I will help design the AI system.
If your team has a high-friction process, recurring analysis, or internal tool that should be smarter, faster, and easier to operate, let's talk.