Document processing and data extraction
Turn documents into structured records for review. Define the fields, source formats and exception handling before connecting extraction to an operational workflow.
ISHVANIHUB / SERVICES / AI SYSTEMSMODEL WORK WITH A JOB TO DO.
MODEL WORK WITH A JOB TO DO.
AI INTEGRATION &
AUTOMATION.
AI integration and workflow automation for document extraction, knowledge search and support assistants. We connect models to the data and tools your team already uses.
TALK THROUGH A BUILDCONCEPT / aiPython · OpenAI APIs
DECISION SUPPORTILLUSTRATIVE / NOT A LIVE SYSTEM
INCOMING REQUEST
“What changed in the latest supplier agreement?”
01RetrieveYour source material
02ReasonContext-aware model
03ReviewPerson approves
DRAFT ANSWER
Three terms changed. The payment window is now 45 days…
Awaiting reviewGOOD FITA defined workflow with data, context and a human who stays in the loop.
THE WORK, IN FOUR MOVESSHAPE → BUILD → SHIP → LEARN
WHAT WE MAKE
USEFUL SOFTWARE
WITH A JOB TO DO.
01
Document extraction and structured data
02
Search and retrieval across internal knowledge
03
Assistants for support, ops and research
04
Automations that move work between tools
HOW IT MOVES
VISIBLE WORK. SMALLER BETS. BETTER SIGNAL.
01
Shape
The actual problem, the people around it, and the smallest useful first move.
02
Build
A working slice early enough to react to, not a reveal at the end.
03
Ship
A clear handoff, a dependable release path, and software people can use.
04
Learn
The next decision based on what happened in the real world.
THE TOOLBOX
TOOLS FOLLOW
THE PROBLEM.
A considered stack keeps a product easier to change, run and own. We pick what fits the product and the team. Explore our technology stack or learn about working with our development team.
PROJECTS & WORKFLOWS
Where this service fits
Knowledge search and support assistants
Help a team find relevant information and prepare customer support responses. A retrieval-based assistant needs source access rules, answer evaluation and a clear handoff when it cannot resolve a request.
AI integrations and workflow automation
Connect model outputs to existing APIs, queues and business tools. Keep approval steps visible when an automated decision would change a record or trigger another action.
BEFORE YOU BUILD
Questions about AI systems
What can AI workflow automation help with?
Start with a repeatable task: extracting fields from documents, finding information in internal knowledge, or preparing a support response. Define the expected output, the data the model may use and where a person needs to review its work before connecting it to other tools.
When does an internal knowledge assistant need retrieval?
Retrieval-augmented generation (RAG) gives an assistant relevant source material before it prepares an answer. For an internal knowledge search project, identify the documents, access permissions, update frequency and examples of questions it should answer. Evaluate answers against those sources rather than assume every response is correct.
Have a specific workflow in mind? Tell us about your project.
NEXT MOVEREADY TO MAKE
START A PROJECT