We install one AI operating system for every agent.You use it through Slack or MCP, with people in control.
Track people and token costs with one plan for access, models, and ownership.
Teams buy models and seats, but nobody defines which work should change, who owns adoption, or how success is measured.
People time and token spend live in different places. Leaders cannot compare the full cost of AI with the work it improves.
Tools are hard to distribute. Data access, model choice, spending limits, and important actions need rules everyone can follow.
AI adoption needs one operating model for people, models, tools, data, and cost.
Teach it once. Every agent gets the same facts and tools through Slack or MCP.
Each function gets its own interface. Shared knowledge, tools, and controls stay underneath.
Campaign planning
Research the account, load the offer and audience, and turn the approved facts into a campaign brief.
Result
A review-ready campaign brief with its sources attached.
Human control
The team chooses the message and approves the campaign.
Connected tools
+ company libraryWe map what agents do, what people decide, and who owns the result.
Connect the agents and harnesses your team already uses
Claude CodeCursor
Codex
GitHub CopilotObserve the workflow as it runs. Document the inputs, tools, handoffs, failure points, baseline, and decisions that must stay human.
Choose the best opportunity. Map the inputs, agent steps, human decisions, source of truth, measures, and named owner.
Connect tools, build agents and product experiences, and encode the context and skills behind them.
Test the system with real work, document it, train the team, and leave them able to change it without us.
Amir and Max lead. Specialists join where needed. Your team inherits the system.
Product strategy
Product design
AI systems
Engineering
Operations
Enablement
Experience across
Notara
the operating layer
01
Company knowledge
02
Reusable skills
03
Connected tools
04
Human controls
The expertise becomes a working system—not a deck that leaves with the consultants.
Workflow economics
Approved baseline → current system
Revenue
More valuable output
target trend
Operating cost
Less repeated work
target trend
Better economics, tied to the workflow.
Establish the baseline, instrument the system, and track the result after it is running.
The system starts with the workflow, decisions, and source material your team already uses.
Revenue contribution and operating cost are tracked against the workflow baseline—not assumed in advance.
A named owner gets the runbook, controls, and ability to change the system without us.
Keep every agent’s knowledge, workflows, access, and history in one place.
Set what always loads, what stays searchable, and what never reaches a model.
Publish a workflow as a versioned skill with the tools and documents it needs.
Every tool is marked read, write, or destructive before an agent can reach it.
Implementation is custom-scoped. Notara is $149/month plus $29 per seat.
Ten seats is $439/month all-in.
Notara does not hold SOC 2; the hosting provider does. MCP endpoints expose read-only context, resources and skill prompts. They do not expose write or destructive tools.
Bring us the workflow that is slow or stuck. We map the system and show where Notara fits.
