AI task agents
Agents designed around a defined operational job, with the context, procedure, tools, and boundaries needed to perform it.
About Cognitaski
Software has digitized business operations, but people still spend their days connecting documents, inboxes, applications, and internal processes by hand. Cognitaski is built to close that gap.
Our mission
We combine AI agents and workflow infrastructure to understand business information, apply operational logic, interact with connected software, and complete repeatable work end to end.
Our vision
Organizations should be able to deploy agents across routine processes the way they deploy software today — executing the repetitive work and escalating the decisions that need human judgment.
The problem
Documents vary, emails are unstructured, requests carry context, and processes need judgment. Rule-only tools work when every input is predictable — operations rarely are. These are the questions teams are left answering by hand.
How a workflow runs
01
Connect systems, inboxes, files, and APIs
02
Define the process, rules, and approvals
03
Agents execute the workflow
04
People review exceptions and sign-off
05
Execution data improves the workflow

Leadership
Founder & CEO
Tejas leads product direction and engineering at Cognitaski — building the agents, workflow infrastructure, and operational controls that let teams automate repetitive back-office work without giving up oversight of it.
Where things stand
What we're building
Each part of Cognitaski handles a different stage of operational work, powered by the same underlying workflow platform.
Agents designed around a defined operational job, with the context, procedure, tools, and boundaries needed to perform it.
Triggers, conditions, AI reasoning, business rules, actions, schedules, and approval steps combined into one process.
Understand, classify, extract, validate, and route the information held inside common business documents.
Move validated information into configured business applications, databases, internal tools, and downstream workflows.
Keep sensitive actions, exceptions, and high-impact decisions under explicit human authority.
Inspect status, inputs, outputs, agent actions, approval decisions, exceptions, and outcomes.
Product philosophy
Useful operational AI has to be connected to real workflows, able to use tools, bounded by controls, and observable from input to outcome.
Technology should produce measurable operational value, not novelty.
Automation should remain observable and controllable.
Business workflows require dependable execution.
Operational data and credentials must be protected.
Complex automation should be easier to create and manage.
Every workflow should get more effective over time.
Who we build for
The capability surface
Operational automation is assembled from a small set of dependable pieces. Combine them, and a manual process becomes a controlled one.
Start with the work
Tell us about the repetitive process, the systems involved, and where approvals belong. We'll help map a practical automation path.