AI agents: use cases and implementation choices
Adrian Sjøholt and Frode Stenstrøm of ProsessPilotene covered trends, models and use cases for AI agents in business.
Adrian Sjøholt and Frode Stenstrøm of ProsessPilotene covered trends, models and use cases for AI agents in business.
In this 2025 webinar, Adrian Sjøholt, solution architect at ProsessPilotene, and Frode Stenstrøm opened a series on artificial intelligence with a review of AI agents. They compared the leading language models from OpenAI, Google, Anthropic, Meta, Microsoft and Amazon, noting differences in token size, cost and suitability for different tasks.
They then explained foundational concepts such as vector databases, which give language models a form of memory, and the Model Context Protocol (MCP), an open protocol from Anthropic that lets AI agents connect to a company's own systems through APIs without building each integration from scratch.
Practical examples included automated quote generation from incoming emails, project plans generated from contract documents, better knowledge-article search for customer service, and AI-assisted coding. The two also demonstrated how AI agents can be specialised for narrower tasks and chained together in a workflow, rather than building one large general-purpose agent meant to cover everything.
The session closed with a recommended approach to adoption: identify business areas with real value, ensure clean underlying data, match the right model to the right task, and start small with clear ownership and management backing, relevant for organisations in any industry considering AI agents.
CRM-Konsulent
Gründer og teknologistrateg
Som gründer og teknologistrateg i ProsessPilotene jobber jeg med å hjelpe virksomheter forstå og bruke teknologi som en strategisk kraft for bedre arbeidsprosesser, kundeopplevelser og beslutninger. Rollen kombinerer forretningsutvikling, teknologirådgivning, virksomhetsarkitektur og formidling. Jeg arbeider særlig i skjæringspunktet mellom AI, CRM, digitale plattformer, data, analyse og fremtidens arbeidsliv. En sentral del av rollen er å være brobygger mellom ledelse, fagmiljøer og teknologi. Det handler om å gjøre komplekse teknologiske muligheter forståelige, vurdere hva som faktisk skaper verdi, og bidra til at digitale løsninger blir en naturlig del av hvordan virksomheter jobber. Jeg bruker også rollen til å formidle faktabaserte perspektiver på hvordan AI og teknologi påvirker ledelse, organisasjoner, ansatte og kunder.
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