Compare
Start with the problem, then compare the tools
A writing assistant, company search product, automation platform, and technical service solution are built for different jobs. Use these guides to decide which approach fits your work and what your team will need to configure.
Decision guide
Compare the work each approach is designed to support
Dimension
Opero
AI partner for industry and manufacturing
Microsoft Copilot
General Enterprise AI
ChatGPT / OpenAI
General AI Assistant
ServiceNow
ITSM & Enterprise AI
Best fit
Target user
Technical teams — technicians, service engineers, field ops managers — and their end customers
Office & knowledge workers
General users & developers
IT service desks & enterprise ops
Platform role
Delivered solution for technical knowledge and operational processes across existing business systems
Broad assistant embedded in Microsoft 365, with extensions available through Microsoft tools
Broad assistant and API platform; customer-facing or specialised applications require configuration or development
Enterprise service-management platform with workflows, knowledge, customer service, and AI capabilities
Technical knowledge
Technical documentation
PDFs, manuals, SOPs, images, spreadsheets, videos
Configured for large collections of manuals, drawings, procedures, videos, and service records, with sources shown beside answers
Uses Microsoft 365 content the user may access and can include citations to information used for an answer
Supports uploaded files, connected sources, projects, and custom configurations; scope depends on the chosen product and setup
Supports enterprise knowledge and conversational search, with its strongest fit in service-management processes
Technical doc specialization
Implementation includes organising OEM manuals, drawings, service procedures, revisions, and machine-specific information
Works with Microsoft 365 and connected organisational data; specialised technical structure must be configured
Projects, connected sources, custom GPTs, and APIs can support specialised work when the organisation configures them
Now Assist supports knowledge search and case work; industrial document structure depends on the implementation
Knowledge capture & update
Interviews, service reports, live documentation
Interview staff, generate service reports, and keep documentation up to date with live conversations — via voice or chat
Can draft and summarise in Microsoft 365; the capture process must be configured
Can draft and structure supplied information; the capture process must be configured
Supports case summaries, resolution notes, and conversational knowledge search in service workflows
Voice Interface
AI voice agent
Dedicated phone line backed by AI
Dedicated phone number backed by an AI agent — technicians call to troubleshoot issues, file reports, and query the knowledge base hands-free
Voice is available in Microsoft experiences; a dedicated technical service line requires additional setup
Voice mode is available for general conversations; industrial reporting requires a configured application or workflow
Customer-service voice features can assist live agents; the fit depends on the ServiceNow products and configuration used
Workflow Integrations
Connected workflows
ERP, CRM, accounting — automated actions
Connects directly to Microsoft Dynamics, Zoho, e-conomic and more — auto-create invoices after a job, draft customer responses, trigger follow-up actions
Strong fit for work in Microsoft 365; industrial processes require connectors, agents, or additional configuration
Can support specific workflows through GPTs, agents, and APIs; the organisation owns or commissions the implementation
Mature service-management workflow platform with customer-service and field-service options
Named integrations
SAP · Microsoft 365 · Dynamics · Zoho · e-conomic · CMMS platforms · custom ERP/DMS — built to connect, not replace
Deep Microsoft 365 and Azure integration, with options for external data through connectors and extensions
APIs and connected applications support broad integration; specialised ERP work depends on the chosen implementation
IntegrationHub and product connectors support enterprise systems; availability and pricing depend on the ServiceNow package
RFP / RFQ automation
Drafting and answering tenders
Reads RFP and RFQ documents, drafts sourced answers, and returns the response for bid-manager review
Can draft in Word and use Microsoft 365 content; a tender-specific review process must be configured
Can analyse files and draft responses; a structured tender workflow and source controls require configuration
Can coordinate approvals and case work; a bid-response application would require configuration
Customer-Facing Capabilities
Customer portal
Branded self-serve AI for end customers
Deploy a branded customer-facing AI portal scoped to curated documents — customers get self-serve support without accessing internal knowledge
Primarily an employee experience; customer-facing delivery requires another Microsoft application or custom solution
Possible through APIs and applications; branding, document scope, identity, and access controls must be implemented
Customer Service Management provides customer portals and knowledge features; technical product scope depends on configuration
Spare parts ordering
Customer describes a maintenance need → Opero surfaces the correct parts list → customer generates a formal order directly to the manufacturer
Can assist with information and Microsoft workflows; catalogue matching and ordering require connected systems
Can assist through a configured application; catalogue matching, permissions, and ordering must be built
Can coordinate service and fulfilment workflows; parts catalogue and ordering depend on connected systems
Implementation
Time-to-first-value
From contract to live in production
A defined first process is typically prepared for production within six weeks, including guided setup and testing
Microsoft 365 productivity can begin quickly; specialised processes depend on data readiness and implementation scope
General use can begin quickly; a controlled industrial application depends on configuration, integration, and testing
Timing depends on the existing ServiceNow environment, selected products, integrations, and rollout scope
Business data controls
Data used to train public models
Customer data is not used to train models; provider and processing terms are documented for the deployment
Microsoft states that Microsoft 365 Copilot interaction data is not used to train foundation models
OpenAI states that Business, Enterprise, Edu, Healthcare, and API data is not used for training by default
Enterprise policy — no training on customer data; Now Assist uses partner LLMs
Access and isolation approach
Separate customer environments, permission checks before model use, EU hosting by default, and private deployment options
Uses Microsoft 365 identity, permissions, sensitivity labels, encryption, and compliance controls
Business products provide encryption and workspace controls; retention and residency options vary by product
Enterprise permissions, audit, and data-residency options depend on the ServiceNow products and region selected
Data residency & deployment
EU-hosted by default, with private and on-premises options available by agreement
EU Data Boundary and regional options are available for eligible Microsoft products and customers
Regional storage and processing options are available for eligible business and API customers
Regional hosting options depend on the ServiceNow product, customer location, and contract
By product
See where each product is a better fit
vs. ChatGPT / OpenAI
Choose ChatGPT for broad individual work. Choose Opero when a recurring industrial process needs configured documents, systems, permissions, and support.
Read the comparisonvs. Claude (Anthropic)
Choose Claude for broad writing, coding, and analysis. Choose Opero when technical knowledge and connected industrial processes must be configured and maintained.
Read the comparisonvs. Microsoft Copilot
Choose Copilot for work centred on Microsoft 365. Choose Opero when technical knowledge must drive work across service, ERP, parts, and customer systems.
Read the comparisonvs. Dust
Choose Dust when an internal team wants to build many agents. Choose Opero when you want a defined industrial knowledge or workflow solution implemented for you.
Read the comparisonvs. Gemini (Google)
Choose Gemini for Google Workspace or a broad cloud AI platform. Choose Opero when you want a defined industrial knowledge or workflow solution delivered.
Read the comparisonvs. Glean
Choose Glean for company-wide search and agent building. Choose Opero for a delivered technical-service solution using industrial documents and processes.
Read the comparisonvs. Guru
Choose Guru for knowledge that owners write and verify as concise cards. Choose Opero for answers drawn from large technical document and service collections.
Read the comparisonvs. Intercom (Fin)
Choose Fin for customer-support conversations at scale. Choose Opero when the answer depends on detailed technical documents, parts, or service systems.
Read the comparisonvs. Perplexity
Choose Perplexity for broad research across current sources. Choose Opero when answers must use approved company documents and continue into operational work.
Read the comparisonvs. ServiceNow
Choose ServiceNow for a broad enterprise service platform. Choose Opero for a focused industrial process that works with technical documents and existing systems.
Read the comparisonvs. Zapier
Choose Zapier for straightforward automation across many applications. Choose Opero when a process must first interpret technical knowledge or service data.
Read the comparison