What are you trying to deploy?
Autonomous or semi-autonomous agents that take actions across your systems with guardrails and human oversight.
Support assistants that resolve tickets and conversations across chat, email and messaging, integrated with your helpdesk and CRM.
Voice and chat receptionists that answer, qualify, book and route enquiries, integrated with calendars and CRMs.
Lead qualification, outreach drafting, CRM hygiene and pipeline intelligence powered by LLMs.
Employee-facing assistants grounded in company knowledge, policies and internal tools.
Search and question answering across documents, wikis, tickets and structured data with permissions preserved.
Extracting, classifying and processing contracts, invoices, forms and unstructured documents.
Pipelines, warehouses and ML infrastructure that AI features depend on.
Detection, inspection, OCR and video analytics deployed to edge or cloud.
Building AI-native features or products for your own customers.
Automating back-office and operational workflows with LLM steps, approvals and integrations.
AI inside Salesforce, HubSpot, Dynamics and similar systems: enrichment, summarisation, next-best-action.
Real-time speech agents for phone lines and call centres.
Counts show providers listing experience with each deployment type. Something else? The matching questionnaire accepts a free-text description.