Give every agent your live company context.

Askollo maps how your company actually works, so AI agents act on current knowledge, the right permissions and trusted sources. We call this the Enterprise Context Layer, or ECL.

What an ECL makes possible

AI that understands how your company works

Give every agent live context on your people, projects, customers, tools, and internal language, so AI works from the reality of your business.

More accurate answers, faster

ECL routes agents to the right context upfront, reducing noise, latency, and wasted tokens while improving answer quality.

Agents that move work forward

With context on roles, ownership, timing, and relationships, agents can find the right person, trigger the right workflow, and act reliably.

Avoid betting on one model

Keep company context separate from any single model, agent framework, or vendor, so your AI strategy can evolve as the market changes.

Control without slowing teams down

Manage access, permissions, usage, and governance while letting teams build and deploy AI workflows quickly.

The context layer

How the ECL works

Priya leads EMEA renewals

Slack5 minutes ago
people/priya-emea-renewalsmem_8f3a21
  • search

    Queries

    Answers grounded in your company

  • deployed_code

    Agent Builder

    Agents with live company context

ClaudeSlack
  1. hub

    Map your company

    We start with your ontology: the teams, people, customers, projects and processes that make up your business. Everything we learn gets filed into that structure, so nothing ends up lost in a generic index.

    Why it matters Every agent knows who owns what, which customer a conversation is about, and how your processes actually run, from day one.

  2. neurology

    Turn work into memory

    We connect Slack, Notion, Drive, Mail, Calendar and Jira. What matters in every thread, doc and meeting becomes a memory with its source, date and a confidence score. When something changes, the memory updates.

    Why it matters Every answer can be traced to its source, and old information is replaced rather than piling up. No more agents quoting last quarter’s pricing.

  3. assignment

    Brief every agent

    Before an agent answers, the layer walks your ontology and asks one question at each branch: would this help? Only the context that would change the answer gets sent.

    Why it matters Answers are sharper and less likely to be made up, and sales, support and finance all work from the same live version of the truth.

Give your agents the full picture.

We never train on your data.

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