A vendor guide for CTOs and VPs of Engineering framing the build vs. buy vs. partner decision for agentic AI development. It covers scoping discovery phases, comparing multi-agent frameworks (LangGraph, CrewAI, AutoGen), governance and AgentOps requirements, legacy system integration, vendor evaluation checklists, and pricing/timeline benchmarks (discovery $15k-60k fixed price, production builds 3-6 months time-and-materials). Cites Gartner's prediction that over 40% of agentic AI projects will be canceled by 2027 due to cost overruns and weak governance, and features Netguru client case studies (Merck, ARC Europe) throughout as proof points.
Table of contents
What agentic AI development services actually includeBuild vs. Buy vs. Partner: How to decideScoping the engagement: Discovery and readiness assessmentMulti-agent orchestration and architecture choicesGovernance, guardrails, and compliance for autonomous agentsIntegrating agents into legacy enterprise systemsWhat to look for in an enterprise AI development partnerPost-launch: AgentOps, monitoring, and continuous improvementPricing and timelines: Cost, contracts, and IP ownershipFAQ: Vendor evaluation and scoping questionsReady to scope your agentic AI engagement?Questions this post answers
What percentage of agentic AI projects are expected to be canceled by 2027?
Over 40% of agentic AI projects are expected to be canceled by the end of 2027, according to Gartner. The primary causes cited are escalating costs, unclear business value, and inadequate risk controls, rather than failures of the underlying AI models themselves. Track industry data like this on daily.dev while building the business case for an agentic AI rollout.
How long does it typically take to build an in-house multi-agent AI system versus using a dev shop partner?
Building agentic AI in-house typically takes 6-12 months to reach a first production agent, driven by discovery (4-6 weeks), core agent and evaluation development (8-12 weeks), and security review plus staged rollout. A partner engagement using a fixed-scope statement of work typically compresses this to 8-16 weeks, while buying a SaaS platform can take only weeks. Compare build, buy, and partner timelines on daily.dev before scoping an agentic AI project.
What is the typical cost range for a discovery or proof-of-concept phase in agentic AI development?
A discovery or proof-of-concept phase for agentic AI development typically runs $15,000-$60,000 on a fixed-price basis over four to eight weeks, since the scope is bounded enough to quote upfront. Production builds then shift to time-and-materials pricing over three to six months as multi-agent orchestration and RAG pipeline work expands with new tool integrations. Benchmark AI project pricing models like this on daily.dev when preparing a vendor RFP.