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Sloy — working memory for AI agents

Sloy gathers conversations, meetings, files, tasks, Git and finance into corporate memory and turns heavy documents into a lightweight AI representation.

Process Business DataIntegrationRelease Users1C/ERPCRMBIAI A business process change reaches users, systems and metrics

Sloy makes the company accessible to AI agents: the work trail from chats, meetings, documents, tasks, code and finance turns into verifiable memory across projects, people and decisions.

The company becomes accessible to agents

Sloy connects sources, memory, policies, finance and action

01

Sources

chats, email, Drive, Plaud, Jira, Git, 1C, banks

02

Memory

projects, clients, employees, decisions, monthly summaries

03

Policies

shared vocabulary: Epic, L30, TTU, MARGIN, IPR

04

Finance

P&L, cash flow, cash flow budget, plan-vs-actual, margin, payments

05

AI agents

understand the context, ask questions, prepare actions

06

Action

reply to the client, control, posting, escalation, decision

Corporate Memory

Conversations, documents and tasks become a circuit of understanding

People don't change their familiar systems

Google Docs, CRM, task trackers, email and conversations keep living where they're convenient for people. Sloy captures the work trail and links it to projects, clients, employees and decisions.

Memory becomes machine-readable

READMEs, short markdown files, change history, monthly summaries and links to sources are stored in the corporate GIT. Such context is easy for an agent to read and for a human to verify.

The original remains the source of truth

Google Docs, Sheets, PDFs, presentations and transcripts are stored as sources. The agent reads a lightweight version and returns to the original to verify a disputed fragment.

The context belongs to the company

Knowledge no longer stays in employees' private chats and is not lost when people change. The company sees what happened, who made the decision and on which facts it was based.

Wiki instead of RAG

Knowledge is compiled into an llm-wiki instead of being retrieved anew for every question

No RAG

Sloy doesn't search for random chunks at answer time. The context is turned in advance into a connected set of short markdown representations.

Source of truth

Original documents, emails, meetings and tasks remain immutable sources of truth.

Context access

The agent first reads the project map, monthly summaries and relevant pages, so it sees the accumulated synthesis.

Anti-hallucination

The answer relies on verifiable pages and links to sources, while contradictions are recorded in the project memory.

A question instantly assembles the context

The company gets answers that previously required manually collecting chats and files

What's the status of project A?

The agent gathers the latest decisions, risks, open questions, owners and the next step.

Where did the client approve this?

The answer includes the email, message, meeting, document or task where the confirmation appeared.

Where did the margin drop?

Sloy compares plan vs. actual, revenue, labor costs, expenses and agreements.

What happened over the month?

The system gathers completed work, disputed points, assignments and the money dynamics.

Contacts

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