Rebase agents connect to every system holding your knowledge. SharePoint, Confluence, Notion, Google Drive, Slack, Salesforce, Jira, ServiceNow, and your data warehouse. They build the knowledge graph. They answer the questions. Then they run the work that the answers require.
Search tools stop at the answer. Rebase ships the next steps.
UNIFIED WORKPLACE SEARCH
Employees spend a fifth of their week looking for information. Rebase agents search across every connected system, respect every permission boundary, and answer with citations from the actual source documents. No 50-link list. No hallucinations.
Semantic search across every system
SharePoint, Confluence, Notion, Google Drive, Slack, email, Jira, Salesforce, internal tools. One query reaches all of them.
Permissions-aware, end to end
Every result respects the source system's access controls. If you can't see the doc in SharePoint, you don't see it in Rebase either.
Answers with citations, not link lists
Every claim cites the source doc, the page, the author, and the date. Click through to verify in the system of origin.
Knowledge graph that learns
Relationships between people, docs, projects, and customers improve every query. The graph gets sharper the longer it runs.
40 to 60% of IT and HR help desk volume is password resets, software access, benefits questions, and policy lookups. Rebase agents intercept the request in Slack or Teams, verify the employee, and run the action in the source system. The ticket never opens.
Native in Slack and Teams
Employees ask in the channels they already use. No new portal. No ticketing form. The agent meets them where they are.
Identity-verified before any action
SSO check, role check, manager approval where policy requires. Every action authorized against your access matrix.
Action executed in the source system
Okta provisioning. ServiceNow ticket creation and closure. Workday address update. The agent does the work, not just routes it.
Escalation when the policy says so
When the request is outside policy or needs a human, the agent hands off with the request, the verification, and the policy citation.
AGENTIC WORKFLOWS
The gap between finding the answer and finishing the work is where most search tools stop. Rebase agents close it. Ask in natural language, get the answer, and have the next steps executed across the systems they came from.
Multi-step workflows from one prompt
"Pull last week's pipeline by segment, draft the leadership update, post to the sales-leads channel." Three systems, one prompt, one output.
Cross-system orchestration
Salesforce, Notion, Slack, Jira, Drive, the data warehouse. The agent moves between them, holds state, and chains actions together.
Approval gates where they belong
Some actions need a human signoff. The agent stops, presents the work for review, and resumes on approval. Audit trail logged.
Configurable, not just conversational
Turn the prompt into a saved agent. Run it on a schedule, on a Slack trigger, on a Salesforce event. The same workflow, repeatable.
The questions that take a team three weeks to answer get answered in an afternoon. Multi-system synthesis. Full citation trail. Structured deliverable. Downstream actions queued. Most search tools return documents. Rebase ships the work that follows.
Decompose, then synthesize
Agents break the question into sub-questions, gather evidence from every relevant system in parallel, and reconcile the findings into one coherent answer.
Citation traceability on every claim
Every number, every quote, every conclusion links back to the source document, record, or message it came from. Verifiable in seconds.
Structured deliverable, not a paragraph
A memo, a comparison table, a risk register, a recommendation deck. The output is a working artifact, not a summary the team has to re-format.
Downstream actions queued for review
If the analysis recommends action, the agent drafts the Jira tickets, the vendor RFP, the renewal terms, the cancellation notice. Your team approves and ships.
MORE KNOWLEDGE WORKFLOWS
These run on the same platform you deploy for the work above. New use cases are configurations, not new products.
Capture the why behind decisions. Who decided, when, what data informed it, what was tried before. Mined from meetings, email, Slack, and docs. Survives turnover and M&A. The clearest white space in the category.
Sales proposals, marketing emails, RFP responses, internal comms grounded in your actual data, your style guide, your compliance rules. No hallucinations. No off-brand drift.
Role-based access enforced. Full audit trail of who searched for what and what they found. Every answer cited and traceable. Built for financial services, healthcare, energy, defense, and government.
HOW WE WORK
A Forward Deployed Engineer maps your stack, configures the agents, and stays embedded with your team. Not a consultant who parachutes in. A builder who stays until the work runs itself.
Connect
A Forward Deployed Engineer maps your knowledge stack on-site. SharePoint, Confluence, Notion, Drive, Slack, Salesforce, Jira, ServiceNow, internal tools. Inside two weeks the knowledge graph spans every system. Permissions enforced from day one. No data movement.
Build
Agents configured against your actual workflows. Your access policies. Your approval chains. Your knowledge sources. Your reporting structure. Built-in compliance protocols on every agent. Every search, every action logged, structured, and auditable.
Deploy
Live in production in six to eight weeks. Your FDE stays until the workflows are stable. Then your team owns them. Every interaction continues to improve the system as it runs.
FAQS
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