AI adoption

AI adoption and workflow assessment.

Review current tasks, software, data and staff experience. Identify suitable AI use cases, simpler automation alternatives, training needs and a first pilot worth testing.

Discuss an AI assessment Time & cost

In practice

What we can work on

  • A clear inventory of current AI tools, subscriptions, and shadow usage
  • A role-based training and acceptable-use starting point
  • A ranked list of workflows by value, feasibility, risk, and time to first result
  • A provider, model, and architecture recommendation tied to real users and data
  • A defined pilot with success metrics, permissions, and escalation rules
  • A list of ideas to postpone or reject

How it works

What the work includes

Team readiness and training needs

Understand what owners and employees already use, where confusion or unsafe behavior exists, and which role-specific examples will create practical confidence.

  • Current usage and skill level by role
  • Sensitive-data and verification habits
  • Workshop, enablement sprint, or office-hours recommendation

Workflow and tool inventory

Review repetitive work, lead flow, document handling, reporting, communication, and the software already in place.

  • Who performs the work and how often
  • Where information is copied, delayed, or lost
  • What must remain accurate, private, or reviewable

Choosing a first example

Compare a few possible examples: time involved, available data, who can test the result, and what could go wrong.

  • Time saved or response time improved
  • Revenue leakage or cost avoided
  • Implementation and support burden

Provider and architecture decision

Compare business chat plans, APIs, Microsoft or Google tools, model gateways, open-weight models, and local or hybrid options only after the workflow is understood. Current model availability, pricing, and data terms are rechecked when the project begins.

  • Mainstream options such as ChatGPT, Claude, Gemini, and Microsoft Copilot
  • Current alternatives such as Kimi K3, GLM 5.2, MiniMax M3, Qwen 3.7, Ollama, and OpenRouter
  • Agent and routing platforms such as OpenClaw and Vercel AI Gateway when justified

Pilot and rollout plan

Define the smallest useful implementation, test examples, failure paths, human handoff, training, and numbers to track before wider rollout.

  • Baseline and target metrics
  • Access required from the client
  • Training, documentation, and ownership

Before we begin

Working with your team

  • Five to 250 employees with repeated administrative or customer-response work
  • Several AI subscriptions or growing unsanctioned staff use
  • A leadership owner who can provide access and make process decisions
  • A need to train staff, compare providers, integrate tools, or define safe use

Things to account for

Limits and dependencies

  • A request for a long list of futuristic ideas with no owner or baseline
  • Replacing expert judgment in high-impact decisions without review
  • Buying an agent platform before defining the workflow
  • An expectation that a one-time generic prompt lecture will create lasting adoption