Business documents
Contracts, reports, presentations, policies, and business correspondence.
Bring documents, tables, images, conversations, and system data into a shared knowledge layer. Give AI agents the relevant context they need to understand your business and act within its rules.
Relevant information. Business meaning.
Permissions that stay connected.
Enterprise data is spread across formats and systems. Connect it, assemble the right context, and give agents a governed foundation for reasoning and action.
Meaning. Evidence. Access.
CONTELLECT ONEBring documents, images, conversations, and structured records together while keeping their source and business meaning.
Combine relevant evidence, business relationships, and access rules into a shared context that agents can work with.
Give specialized agents the context to answer questions, prepare actions, and route decisions for human review.
Your business is more than documents. Connect diverse data types and systems into a shared foundation, so AI agents can work with the context behind the information.
Contracts, reports, presentations, policies, and business correspondence.
Emails, chats, support tickets, technical guidance, and knowledge articles.
Prior cases, review notes, exception records, and resolution history.
Databases, spreadsheets, application records, internal APIs, and structured datasets.
Images, charts, diagrams, scanned pages, tables, and visual information.
System logs, transaction records, process events, and workflow history.
Bring relevant knowledge together for the task-not just individual files. Select a data type to explore its role.
Combine policies and business documents with relevant records and events so agents can reason with the rules and the facts together.
Connect tabular business information to its definitions, source material, and related records to provide context for agent tasks.
Bring information from visual sources together with related text and business records as part of a multimodal knowledge foundation.
Connect structured business records with knowledge from other sources to give agents relevant operational context.
Connect requests, discussions, and shared knowledge with the records and policies needed to interpret them.
Bring prior issues, decisions, and resolutions into context so agents can help with a new request using relevant history.
Connect operational signals and process events to related records and guidance so agents can interpret what happened in context.
Make approved guidance and shared expertise available alongside relevant business data for employees and AI agents.
Connected knowledge, ready for the task.
Explore how different data sources become unified context that AI agents can use to answer questions and move work forward.
Connect documents, images, structured records, conversations, and system events. Preserve source context and enrich information so agents can use it together.
Explore an example ↓Different formats, connected for a common purpose.
Assemble relevant information from multiple sources into context for the task at hand. Keep business meaning, source references, and permissions connected as agents reason.
Explore an example ↓One shared layer serving different questions and workflows.
Coordinate agents to summarize, compare, draft, and route work. Define the actions they can take and the decisions that need a person.
Explore an example ↓Move the work forward within your business rules.
Connect sources, decisions, approvals, and outcomes in a reviewable workflow history. Escalate exceptions instead of letting them disappear.
Explore an example ↓Understand what happened, why, and who approved it.
Explore illustrative workflows where knowledge, agents, and human judgment work together.
The invoice amount differs from the purchase order. Prepare an exception summary and route it to the finance reviewer.
Compare the submitted terms with the approved template. Summarize differences in payment and renewal clauses for legal review.
Check the onboarding policy and available documents. Prepare a checklist of missing items for the HR team to verify.
Help agents work with trusted context, defined permissions, and a clear path to human review.
When a step requires approval, the agent prepares the evidence and proposed action for a reviewer.
Once the required review is complete, the workflow can proceed with the permitted action and record the outcome.
Information outside the user's or workflow's permissions is excluded from the context available for the task.
Retrieve relevant knowledge and keep source references connected.
Define approved tasks, business rules, and escalation paths.
Connect sources, decisions, approvals, and workflow outcomes.