Enterprise AI business assistants
What the client says
“We have business data, but users still need reports for answers.”
What OB360 delivers
A secure natural-language assistant connected to approved enterprise data and business rules.
Partner with OB360 on enterprise AI
OB360 is the AI engineering and implementation partner for software companies, IT service providers and business organizations. You bring the client relationship and the business problem; we design and deliver the AI solution with you.
Partnership
Who we partner with
OB360 works with organizations that have client relationships, see demand for AI, and want an experienced engineering partner to design and deliver it.
- Software product companies adding AI capabilities for their customers.
- IT services and consulting firms that need specialist AI engineering capacity.
- Channel and referral partners who identify enterprise AI opportunities.
- Business organizations that want an implementation partner for their own AI roadmap.
Opportunity
The enterprise need we solve together
Many organizations already have the data, the reporting platforms and the AI licences. What is missing is a usable, governed layer between business questions and trusted operational information.
Managers wait for analysts to answer routine questions. Knowledge and KPIs are scattered across systems, spreadsheets and reports. Early chatbots and copilots answer general questions but cannot explain business-specific data. Leadership wants measurable AI adoption without replacing current applications.
This is a repeatable need, and OB360 has delivered it. Read the multi-agent business intelligence case study, in which one assistant coordinates product, inventory and portfolio agents inside Microsoft Teams.
Projects
Projects OB360 takes on
Use these categories to recognize opportunities in your existing customer accounts.
Multi-agent solutions
What the client says
“Different departments need specialized AI that works together.”
What OB360 delivers
A coordinating hub, specialist agents, controlled hand-offs and cross-domain insights.
Conversational BI and analytics
What the client says
“Our data is in SQL, ERP and cloud systems; we want to ask it questions.”
What OB360 delivers
Data connectors, curated KPIs, retrieval and query tools, explanations and evidence-backed answers.
Copilot and Microsoft AI adoption
What the client says
“We invested in Copilot but need business-specific value.”
What OB360 delivers
Copilot Studio and Azure-based agents published in Teams or other approved channels.
Enterprise knowledge agents
What the client says
“Our policies and knowledge are scattered across documents.”
What OB360 delivers
Knowledge-grounded assistants with retrieval, document access rules and citations.
AI modernization and pilots
What the client says
“Our chatbot or first AI pilot did not work well.”
What OB360 delivers
Feasibility review, target architecture, redesign, validation, implementation and a scale-up plan.
Signals
Buying signals to listen for
The ideal referral starts with a business problem and access to a decision-maker, not a detailed AI specification.
- “We are paying for Copilot but struggle to demonstrate department-level value.”
- “Our leadership teams want answers without building a new report every time.”
- “We tried a chatbot or AI pilot, but it cannot use our business data reliably.”
- “Our data is spread across SQL Server, ERP, CRM and cloud applications.”
- “We need multiple specialized agents to collaborate in a governed workflow.”
Who to approach
Good target accounts are retail, distribution, manufacturing, logistics and other data-intensive organizations. Start with the CIO or CTO, the Head of Data and Analytics, the COO, the Digital Transformation Lead or an operational business sponsor.
Delivery
How we take a project into production
OB360 can join a partner early in an opportunity, not only after the project is sold.
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Discovery and feasibility
Identify the business questions, decision-makers, data owners, existing AI investment, success criteria and readiness.
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Solution architecture
Define agent responsibilities, the orchestration pattern, approved data access, security, platform selection and the pilot boundary.
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Pilot build and validation
Build the assistant and agents, integrate approved sources, test answers against reference data and tune the user experience.
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Rollout and expansion
Deploy to approved channels, set up monitoring, transfer knowledge and extend to further use cases in phases.
Typical deliverables
- Requirements understanding, a prioritized use-case catalogue and a high-level architecture.
- A working AI assistant and agent workflows connected to agreed enterprise sources.
- Business-specific question patterns, response design, evaluation and user testing.
- Security configuration guidance, telemetry, documentation, deployment and handover.
Working together
How the partnership works
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Partners lead the relationship
Partners lead market relationships and identify opportunities in their accounts.
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OB360 supports from discovery
Joint discovery, feasibility assessment, solution architecture, proof-of-value development, integration, deployment and technical handover.
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Roles agreed per opportunity
Commercial and delivery responsibilities are agreed for each engagement.
What to share when you introduce an opportunity
- The industry and the problem statement.
- Two or three example questions the business wants answered.
- The current applications and data sources.
- The key sponsor and the expected timing.
Five qualification questions
- Which decision takes too long because someone must prepare a report?
- Where are the approved facts and business rules stored today?
- What have you already tried with Copilot, chatbots or internal AI?
- Who owns the business process, data access and pilot acceptance?
- Which two or three questions would make a valuable first pilot?
Scope
Where scope needs careful assessment
Complex SQL exploration, restricted row-level access, data remediation, ERP transactions, autonomous decision-making and advanced forecasting models can significantly affect feasibility and delivery effort. Low-code tools also have practical limits: some requirements call for custom services or a pro-code agent framework.
A scoped pilot is not an unrestricted natural-language analytics engine, an autonomous ERP transaction system or a new forecasting-model program. Those can be assessed separately when a client needs them.
OB360 estimates and commits after discovery. The client and partner align on data access, ownership of integrations, source-system readiness, security approvals, acceptance criteria and the support model.
Questions
Questions partners ask
When should a partner involve OB360?
As early as possible. OB360 can join at the opportunity stage for joint discovery and a feasibility review, not only after a project is sold.
What does OB360 need to assess an opportunity?
The industry, the problem statement, two or three example business questions, the current applications and data sources, the key sponsor and the expected timing.
Who owns the client relationship?
Partners lead market relationships and identify opportunities. Partner roles, delivery responsibilities and commercials are agreed for each opportunity.
Which technologies does OB360 work with?
Technology follows the use case. In a Microsoft-first environment OB360 uses Copilot Studio, Teams, Azure AI Search and Azure services. Where a project needs greater control, custom integrations or complex agent workflows, OB360 assesses a pro-code agent architecture. Cloud engineering covers Azure, AWS and Google Cloud.
How are timelines and commercials set?
After discovery. They depend on data quality, approved KPI definitions, licensing, access permissions, security requirements and the support model, so OB360 estimates and commits per engagement.
Introduce a client opportunity
Tell us about the client’s business problem and the decision-maker involved. We will arrange a joint discovery discussion and agree the next steps together.