Too much engineering lift
Many automation platforms require technical builders, custom glue code, or engineering support before business teams can automate real work.
Custom AI workflow automation
TURN BUSINESS WORK INTO CUSTOM AI WORKFLOWS.
JintellarCore helps teams turn recurring business work into customizable AI workflows with visual authoring, approved tools, human review, and evidence built into the experience.
Build workflows without engineering bottlenecks
Customize every step, tool, and handoff
Run repeatable work with approvals built in
Improve the workflow after every run
Automation problem
AI automation is still too hard to shape around real work.
Teams know the workflows they want to simplify: research, exception handling, document assembly, data work, coding tasks, and internal operations. The hard part is turning that work into repeatable AI automation without needing deep technical setup every time the process changes.
Rigid automation paths
Teams need to change steps, tools, reviews, and outputs as work changes. Hardcoded flows become difficult to adapt.
One-off prompts do not scale
Chat can help with a task, but it rarely becomes a repeatable operating process the team can run, review, and improve.
Controls arrive too late
Approvals, boundaries, and evidence need to be part of the workflow experience, not a separate compliance layer added after the fact.
Workflow solution
A workflow creation experience built for business customization.
JintellarCore lets teams design the workflow, customize the steps, connect the right tools, add review points, and run the process with controls and evidence included from the start.
01
DAG Studio
Map a business process into a reusable workflow profile with configurable steps, tools, reviews, and outputs.
02
DAG Workbench
Run the workflow in a clear operator experience with progress, decisions, outputs, and approvals visible in one place.
03
Skill Hub
Connect approved tools, company capabilities, APIs, files, and custom skills without forcing every workflow into custom engineering.
04
Runtime Controls
Keep policy, approvals, boundaries, and evidence built into the workflow path as AI work moves across systems.
Product proof
Design, run, and improve the workflow.
The goal is to let business users shape and run AI workflows seamlessly, without needing an engineering background or waiting on a technical team for every process change.
Create the workflow visually
Turn business work into a reusable profile your team can shape, inspect, and refine without starting from code.
Put reviewers where they belong
Add approvals at the steps that matter so people can stay involved without slowing down the entire workflow.
Learn from every run
Capture decisions, outputs, approvals, and evidence so teams can improve the workflow instead of repeating the same manual work.
Workflow packages
Start with the business workflows your team already repeats.
The best first workflows already have inputs, repeated steps, handoffs, tools, reviewer expectations, and a clear business outcome.
Finance research and diligence
Create a repeatable diligence workflow for sources, KPI extraction, comparisons, memo drafting, and review.
Operations exception review
Route recurring exceptions through classification, investigation, policy matching, recommendations, and approval.
Filing and document workflows
Normalize records, reconcile details, assemble packages, flag exceptions, and keep review steps visible.
Coding and data workflows
Let AI inspect repos, process datasets, run tests, generate artifacts, and summarize results inside a controlled workspace.
Legal or compliance research
Build reusable research flows for retrieval, comparison, clause review, summaries, citations, and reviewer signoff.
Internal process automation
Simplify recurring back-office work without turning every process change into a software project.
Start with one workflow your team wants to make easier.
JintellarCore can turn one repeatable process into a custom AI workflow, prove it with real operators, and expand the same creation model across more teams and business functions.