ENTERPRISE AGENTIC WORKFLOW

Turn complex enterprise processes into reliable agentic AI workflows

Yarnit designs and deploys enterprise agentic workflows that reason, collaborate and act across the systems where your business runs.

Trusted by marketing teams shipping across brands, markets and channels every week
WHY YARNIT

Where agentic ambition becomes operational reality

Yarnit brings the platform, engineering depth and forward-deployed approach required to move from an agent idea to an operational workflow.

One integrated agentic stack
YaOS orchestration, Contextual Intelligence, MemorA and an extensible tool ecosystem work as one foundation. Reusable agents, tools and workflow patterns make each new solution faster and more efficient to engineer.
Architecture shaped around the work
We do not force every problem into the same agent pattern. Yarnit selects the right combination of single agents, multi-agent coordination, twin-agent review and human oversight for the workflow.
Forward deployed to production
Our product, AI and engineering teams work alongside enterprise stakeholders to design, integrate, evaluate and operationalise the solution in the customer's environment.
WHAT WE BUILD

From one intelligent role to a coordinated system

Start with one focused agent or transform a complex process with multiple agents, tools and people working as one system.

Build a focused enterprise agent for a defined responsibility such as research, analysis, knowledge retrieval, content creation, coding or decision support. Each agent can use approved knowledge and tools while operating within clear boundaries.
Diagram showing data flow from Agents, Developers, and Users into a container labeled with Developers Data, Agents Data, Users Data, and Resource Data.
Coordinate planners, supervisors, domain specialists, executors and reviewers across complex workflows. Agents divide the work, exchange context and combine their outputs toward a shared business outcome.
Illustration of a document icon labeled 'Doc.x' surrounded by four circular icons with abstract symbols, all on a light background with browser window controls visible at the top left.
Pair maker and checker agents when outputs require independent review. One agent creates or acts; another critiques, validates or tests the result before it moves forward or reaches a person.
Browser window mockup showing a process with 'Searched' for 'Stripe founders' and 'Read' items including Reteropiea, Jhumpy, and Default media, with options for Competitors and Q1 Web Traffic.
Redesign an end-to-end process around agents, enterprise systems and human decisions. Yarnit maps the workflow, builds the system, connects its tools, establishes controls and takes it into production.
Dashboard interface showing a data table with columns Title, Project, and Deadline, listing sample data testing, pro data example, data strategy, and analytics project with respective tags and due dates.
CORE CAPABILITIES

The engineering behind intelligence at work

Every workflow is deliberately designed for the right balance of intelligence, predictability, efficiency and control.

Agentic workflow design
Decompose the work before automating it. Decide what stays deterministic, where LLM reasoning adds value, how many agents are required, what each agent owns and where people, controls and fallback paths belong.
Efficient orchestration with YaOS
Reuse agents, tools and orchestration patterns instead of engineering every workflow from the ground up. YaOS coordinates execution and routes each task to the appropriate model, tool or deterministic service to improve build and runtime efficiency.
Contextual Intelligence
Ground every agent in the right enterprise knowledge, entities, relationships and operating rules so it can interpret requests in the context of the business.
BUILD WHAT COMES NEXT

Reimagine what your enterprise can accomplish

Bring us the process, decisions and systems involved. We will help you design the right agents, context, memory and tools to make it work.

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