Custom AI solutions for your business.
Strivo builds AI solutions around your company knowledge, documents and tools. Start with the work your team needs to finish, choose a useful output and keep the right people in control.
- Task
- Prepare a supplier onboarding review.
- Context
- Supplier documents and the team's onboarding requirements.
- Output
- A checklist with missing information and links to its sources.
- Decision
- The operations owner reviews the prepared next step.
A defined result. A visible review point.
Which AI solution fits the work?
An AI solution combines the information, instructions and tools needed for a business task. Some tasks need better retrieval; others need document extraction, a conversation or a sequence of approved actions. Use the task to choose the starting point.
Scroll the comparison horizontally on smaller screens. These are possible starting points; the inputs and review policy are agreed during scoping.
| Your team's task | Inputs to prepare | Useful output | Review owner | Explore |
|---|---|---|---|---|
| Find answers across company knowledge | Handbooks, agreements and internal documents | An answer linked to its permitted source | The person using the answer | Enterprise Search |
| Help a team prepare everyday work | Agreed team knowledge and a defined task | A draft, checklist or guided response | The team or task owner | AI Assistants |
| Extract and compare document details | Invoices, contracts or submission documents | Structured fields or a source-linked comparison | A document reviewer | Document Intelligence |
| Carry a repeatable process across tools | A request, business rules and system access | Prepared updates and a clear exception path | The process owner | Workflow Automation |
| Coordinate a bounded multi-step task | Selected sources, tools and a completion rule | Research, a report or a proposed tool action | The assigned reviewer | AI Agents |
| Make operational reporting easier to inspect | Agreed source data and metric definitions | A dashboard or reporting summary | The reporting owner | Analytics & Dashboards |
| Answer enquiries on WhatsApp | Approved business knowledge and handoff rules | A useful response and captured enquiry context | A customer-facing team | AI WhatsApp Bot |
| Prepare sales records and handoffs | Enquiries, account context and CRM field rules | A draft record or follow-up for review | The sales or account owner | CRM Automation |
| Handle an initial customer conversation | Approved conversation scope and escalation rules | Enquiry details and a structured handoff | A coordinator or customer team | Voice Agents |
When is custom AI the right fit?
A custom implementation is useful when the task depends on the way your business works. The question is whether your knowledge, access rules, tools or required outputs need to be connected in a way an existing product does not cover.
Consider a custom solution when
- Answers need to use your company documents and show their sources.
- A task crosses several tools, with different permissions for reading and writing.
- The output must follow your team's format, review steps or exception rules.
- Different roles need access to different knowledge and actions.
An existing tool may be enough when
- The task already works inside one product with suitable controls.
- A general drafting tool meets the need without company-specific connections.
- A fixed, predictable rule can be handled by a simpler automation.
- The team is still defining the process or deciding who owns the result.
For a fuller comparison, use our guide to choosing an AI solution for your business. It includes a build-or-buy checklist and pilot evaluation worksheet.
What should you bring to the first conversation?
Start with one recurring task. A representative example makes it easier to define the result, assess the available information and decide which actions need a person.
- The task and its ownerExplain what starts the work, who uses the output and who decides whether it is complete.
- Representative inputsBring permitted sample documents, typical questions or the fields involved in a handoff.
- The expected outputShow the report, checklist, answer or business-system update the team needs.
- Boundaries and exceptionsIdentify access restrictions, approval points, missing information and cases that require escalation.
Implementation should test the complete path: source retrieval, prepared outputs, permitted actions and what happens when the system cannot finish. Explore our approach to AI access and human approval and integration and model options.
AI solutions shaped by your industry.
The same capability can support very different work. A legal team may need a source-linked matter brief; an insurance team may need a submission checklist. The documents, output and decision owner determine the workflow.
From a useful first task to a working system.
Map the workflow
Agree the input, result, knowledge sources, tools and people involved. Define what success looks like before choosing the implementation.
Build and evaluate
Connect the agreed context and tools. Test representative cases, source references, permissions and failure handoffs with the team.
Launch the scoped workflow
Confirm access and approval points, then introduce the system to the people who will use and review its outputs.
Our starting offer is a first scoped system in approximately 30 days. The agreed workflow, source readiness, integrations and review requirements determine the final delivery plan. The Strivo platform overview explains how the connected system works.
Questions about custom AI solutions.
How much does a custom AI solution cost?
Cost depends on the workflow, source preparation, integrations, model or hosting choices, evaluation and agreed support. Start with a defined task and output so the implementation can be scoped. Strivo does not publish a fixed price for every use case.
Do we need an AI agent for every workflow?
No. Search can be enough for finding source-linked answers, while extraction can prepare document fields. An agent is useful when a defined objective needs several steps and selected tool actions. Choose the simplest approach that meets the task and its controls.
Can the solution work with our existing tools?
The implementation is scoped around your existing systems. Strivo offers 100+ integration options, while available interfaces, access permissions and the specific read or write actions are confirmed for the workflow.
Do we have to use a public AI model?
Public and private model options can be considered during scoping. The choice depends on the task, information involved, operating requirements and deployment constraints. Model choice and permission to act are separate decisions.
How do we evaluate the first implementation?
Agree representative test cases and acceptable outputs with the task owner. Check whether source references support the answer, fields match their documents, permissions hold and proposed actions stop at the agreed review points. Include missing or conflicting information in the evaluation.
Bring one workflow worth improving.
Show us the task, its inputs and the result your team needs. We'll explore a practical starting point for AI in your business.
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