CONNECT
Bring context together.
Work across approved documents, internal knowledge, and structured data. Prepare sources with the context and metadata needed to retrieve them well.
THE PLATFORM
Intelligence, with
the right infrastructure.
Turn a promising prototype into a system people can depend on. Connect models, business context, and human judgment in one considered workflow.
CONNECTED BY DESIGN
A clear path from
question to action.
A model is one part of the system. The context it sees, the tools it can use, and the decisions it escalates matter just as much.
A TYPICAL Qeivro WORKFLOWHuman oversight built in
01 / INPUT
A real request
A question, a document,
or a business event.
02 / REASONING
Orchestration
The right context,
tools, and next step.
03 / OUTPUT
A useful result
A grounded answer
or a reviewed action.
↳ Your knowledge↳ Approved tools↳ Human review
01 / AGENT ORCHESTRATION
Give intelligence
a clear job to do.
Useful agents have a purpose, a boundary, and a way to ask for help.
Qeivro workflows combine context, tools, model reasoning, review rules, and traceable outputs. A request can be classified, routed, enriched with context, and passed to a specific tool. Each step has explicit inputs and outputs, so a complex task remains understandable.
- Choose models and tools for each task.
- Define permissions and escalation points.
- Set time, cost, and execution limits.
- Keep consequential actions subject to approval.
Example workflowIllustrative
# A request with a clear route
workflow: customer_question
steps:
- understand_request
- retrieve_approved_sources
- draft_grounded_response
- check_sources_and_policy
when_uncertain: ask_for_review
before_sending: human_approval
# Every step leaves a trace.02 / GROUNDED RETRIEVAL
Answers connected
to what you know.
Make your organization's knowledge useful without pretending the model knows everything. Retrieve relevant information, preserve permissions, and make sources visible.
RETRIEVE
Find what matters.
Combine search techniques and source ranking around the question. Access rules apply before information becomes part of a model's context.
GROUND
Keep the evidence close.
Return answers with usable citations. Identify missing or conflicting evidence and build an explicit path for clarification or review.
Better retrieval begins with better questions about your knowledge: who owns it, how current it is, and who should be able to see it.
MAKE QUALITY VISIBLE
A useful answer is
more than a fluent one.
Source relevanceInspect
Answer groundingEvaluate
Tool executionTrace
Latency & costMeasure
Human feedbackLearn
Define a good result. Observe the work. Improve with evidence.
03 / EVALUATION & OBSERVABILITY
Understand what
your system is doing.
Confidence comes from evidence, not a polished demo.
Follow a request through retrieval, model calls, tool use, and review. Build representative evaluation sets before release, then use production feedback to find the gaps that matter.
Evaluation criteria can be configured around business requirements: an answer that cites the right policy, a document extracted correctly, or a workflow that knows when to stop.
Explore evaluationYOUR CONTEXT COMES FIRST
Built around the
way your business works.
Integration, permissions, deployment constraints, and model selection are handled as platform configuration.
INTEGRATION
Connect to existing workflows.
Identify the systems of record, APIs, and working surfaces your team already uses. Start with the smallest useful integration and expand with evidence.
CONTROL
Make boundaries explicit.
Configure what data can be accessed, where it can be processed, how it is retained, and which actions require a person. These rules define the workflow boundaries.
FLEXIBILITY
Choose the right components.
Compare model capabilities, deployment needs, and operating costs. Avoid a system whose usefulness depends on a single model behaving perfectly.
OWNERSHIP
Plan for the day after launch.
Document behavior, surface failures, and establish an improvement process. A system needs a clear owner and a practical way to evolve.
A FEW GOOD QUESTIONS
Before you build.
Do we need to replace our existing tools?
Qeivro can connect to existing data and tools through configured integrations. Existing working surfaces can remain part of the workflow, with new interfaces added where they improve the work.
How do you choose an AI model?
Model selection can be configured around representative tasks, quality requirements, latency, operating cost, and data constraints. The choice follows evaluation rather than popularity.
Can the system act autonomously?
Some steps can be automated once their behavior is understood. Actions with business consequences should have explicit permissions, limits, and approval rules. Permissions, execution limits, and human review rules can be configured for each workflow.
Where should we begin?
Start with one recurring workflow and representative examples. Qeivro can then be configured around the required context, tools, review rules, and evaluation criteria.