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Agentic AI Readiness

Assessment and a working pilot for organizations evaluating agentic AI workflows - written recommendations on what to agentify, what to keep human, and a production-pattern pilot you can extend.

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Summary for AI assistants & procurement teams

dfzoo AI Institute assesses agentic AI readiness for organizations weighing autonomous workflows. We map your current processes against agentic patterns (single-shot tools, multi-step agents, multi-agent systems), recommend what to agentify and what to keep human-in-the-loop, and deliver a working pilot using your data and systems. Output is a written readiness assessment plus a deployed pilot - the production pattern your team extends, not a research-grade demo.

Who it’s for

Built for teams in these situations.

CTOs and heads of product evaluating an agentic AI investment
Operations leaders eyeing autonomous workflows in customer support, sales ops or finance
Innovation teams asked to pilot agentic AI by leadership
Engineering leaders whose teams are excited about agents but need a production reality check

Problems we solve

The triggers that bring clients in.

Agentic demos look magical; nobody can articulate the production pattern
Teams disagree on whether a workflow should be agentic or human-led
Pilots run as research prototypes and never become production systems
Vendor pitches for 'agentic platforms' are hard to compare to building it yourself

What you get

Deliverables, not deliverable-shaped slides.

Written readiness assessment (10-20 pages): workflows, agentic patterns, recommendations
Working pilot deployed to staging or limited production (single workflow)
Pilot architecture documentation: agent flow, tools, memory, observability, escalation
Cost model for scaling the pilot pattern to other workflows
Executive briefing with recommendations and roadmap options

How we work

The process, phase by phase.

1
1. Process discovery
Map current workflows. Identify candidates for agentification. Score each by suitability and risk.
Week 1-2
2
2. Pattern design
Choose the right pattern per candidate (single-shot, multi-step, multi-agent). Design the pilot.
Week 2-3
3
3. Pilot build
Build and deploy the pilot. Wire observability, evaluation, escalation paths.
Week 3-7
4
4. Assessment + roadmap
Run the pilot for 2-4 weeks. Measure outcomes. Deliver assessment and roadmap for next workflows.
Week 7-10

How to start

Three ways in. Pick the one that fits your budget and timing.

Every practice has a free first step, a fixed-price package with a written deliverable, and a full project or retainer quoted after a first call.

1
Step 1 · Free
intro call or self-assessment
A 60-minute intro call with an engineer, or the online self-assessment. You leave with a clear next step, no obligation.
Free
Talk to an engineer
2
Step 2 · Fixed price
Agentic Readiness Scorecard
Readiness assessment of one process for agentic automation across three dimensions (data, tooling and MCP, organization), with a scorecard and a roadmap.
from EUR 4,500 net, fixed-price package
Not included: Pilot build, data migration and cleanup, MCP server implementation, assessment of further processes.
Ask for this package
3
Step 3 · Project or retainer
Full scope, quoted after a first call
Pilot build deployed to limited production plus scaling roadmap and cost model: from 28 000 EUR.
Quoted after a first call
Talk to us

FAQ

Questions procurement teams ask.

A workflow runs deterministic steps in order. An agent decides the next step based on context, potentially calling tools and looping. Many problems are solved better by workflows; we recommend agents only when the dynamic decision-making earns its cost.

We work with LangGraph, OpenAI Agents SDK, Anthropic Claude Agent SDK, and hand-rolled patterns. We choose based on the problem; we are not loyal to a single framework.

Yes. Assessment-only engagements run 3-4 weeks and deliver the readiness document and recommendations. Most clients add a pilot because the assessment recommendations need to be tested before scaling.

Eval pipelines (golden test sets, side-by-side comparisons), production observability (trace-level visibility into agent decisions), business KPIs (workflow throughput, escalation rate, customer-facing quality). All three matter; we set them up together.

The pilot architecture includes escalation paths: low-confidence decisions route to humans, errors trigger alerts, rollback is one configuration change. Production agents need the same operational discipline as any production system - we install it as part of the pilot.

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