Company knowledge. Put to work.
Strivo connects company information and existing tools into an AI operating layer. Help your team find context, understand the material and prepare useful work from one place.
- Find the relevant material
Handbook sections and the agreed onboarding guidance.
- Understand the requirements
Required documents, open questions and source references.
- Prepare the next step
A draft checklist for the workflow owner to review.
Find. Understand. Act.
Each part of the operating layer has a clear job. Together, they carry a request from company knowledge to a useful next step.
Find the context
Search and retrieve relevant material from the documents, drives and knowledge sources selected for the workflow.
Answers begin with your company information.Understand the material
Analyze, compare and extract the information your team needs. Keep important statements connected to their sources.
A clearer view of the relevant work.Act with review
Prepare a summary, checklist or defined output, then route it through the approvals and connected actions agreed for the process.
Useful work with a controlled next step.
One request can carry more of the work.
Keep the question, relevant material and prepared output in one journey, instead of reconstructing context at every handoff.
Bring sources together
Start with the information the request actually needs, across the source systems included in the implementation.
Prepare a useful output
Build around a result your team can inspect and use. The output format should fit the next person in the process.
Keep the owner visible
Define who reviews the work and which connected actions may follow that decision.
A checklist with its context attached
Illustrative output using sample knowledgeChoose the job. Connect the right product.
Build the first implementation around a specific knowledge problem, conversation or process.
- Enterprise Search & RAG
- Find answers across selected company sources and keep the underlying material available for inspection.
- Workflow Automation
- Connect retrieval, analysis, output preparation and approval into a repeatable process.
- AI WhatsApp Bot
- Bring approved business knowledge into customer conversations and defined handoffs.
Built around your data, tools and decisions.
100+ integration options and public or private model choices give the implementation room to fit your requirements.
Your sources
Choose the knowledge and applications relevant to the first workflow. Integrations are scoped to that process.
Your access
Define who may retrieve information and which actions each connected step may prepare or perform.
Your review
Place human approval where the workflow needs judgment, before an agreed next action proceeds.
From your workflow to a working system.
Implementation covers the process, connections, testing and launch. The first workflow gives the team a focused way to evaluate the system.
Map
Identify the request, relevant sources, expected output and person responsible for review.
An agreed workflow and scope.Build
Create the operating layer and connect the selected sources, models and tools.
A system designed around the process.Launch
Test the agreed cases and handoffs, train the team and deploy the working workflow.
A practical implementation the team can use.
A few practical questions.
Does the operating layer replace our existing software?
The starting point is the software and data your business already uses. We map the integrations required for the chosen workflow and build around that stack.
Can we start with one team or use case?
Yes. A defined workflow, useful output and responsible owner make a focused starting point. The workflow audit helps choose that scope.
Are the workspace examples connected to our data?
The examples on this website are illustrative previews. Your working implementation is built around the sources, models, permissions and processes agreed with your team.
Start with one workflow.
Show us where knowledge and work are disconnected. We’ll map a practical operating layer around the process.
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