Intake & pre-work
With stakeholders, we sharpen goals, needs, maturity and expectations. We also investigate the application landscape, available AI features, licenses, data and integration options in advance.
02 · Part of the AI journey
Discovery
Decide what comes first, what can wait and what truly creates value.
We bring together goals, processes, use cases and the application landscape. The result: clear priorities, an executable roadmap and an AI Playbook teams can keep working with.
How we make this phase concrete
From business goal to a grounded AI strategy, clear priorities and an executable roadmap.
Beforehand, we hold several intake conversations and complete technical pre-work. That gives us a real understanding of where the organization wants to go and how its processes, applications, data and decisions work today. The session starts with your context, not assumptions.
Business goals & AI vision
We connect business goals to AI, discuss the cost of inaction and formulate a vision with the right stages: literacy, proficiency and mastery.
Processes & use cases
On an interactive whiteboard, participants map processes across the organization. We discuss bottlenecks and explore where AI can support, accelerate or automate work.
Technology, data & route
We prioritize by value, effort and alignment with the goals. We then determine what the current stack can already do, where market tools fit and when custom development is genuinely needed.
In the session
From a wall full of processes to choices everyone understands.
Most of Discovery is interactive. We combine the organization’s knowledge with our technical analysis, develop opportunities and make it visible why one use case makes sense now while another does not yet.
Everything on the table
Participants contribute processes, frustrations and recurring work. Discussing each item together reveals the context behind every sticky note.
Value x effort
We assess opportunities by business value, effort, risk and alignment with company goals. This reveals quick wins, larger initiatives and deliberate choices not to proceed.
Use what is already there first
We first get more from existing applications and licenses, then consider proven market tools and only choose custom development when it is demonstrably the best route.
The deliverable
An AI Playbook designed for daily use.
We turn the sessions into clear documentation and an implementation plan. Where appropriate, we also deliver an interactive portal: one place to explore use cases, develop new ideas, create business cases, check regulatory requirements and track progress.
AI PLAYBOOK
Strategy & guardrails
Business goals, AI vision, maturity stages, governance and responsible-use guidelines.
Use-case library
Developed opportunities with value, effort, goal alignment, dependencies and ownership.
Business case & compliance
Practical tools to assess impact, cost, KPIs, risks and requirements for each use case.
Roadmap & progress
A phased implementation plan with quick wins, pilots, larger initiatives and concrete next steps.
The concrete result
“Discovery succeeds when the conversation does not end with opportunities, but with clear choices: what do we do now, what comes later and what do we deliberately leave out?”
Corefocus.ai · Discovery principle
→
Leave with shared choices and an AI Playbook that guides strategy into execution.
Tailored to your organization
Tailored to your organization, maturity and pace.
Discovery often consists of two sessions. In the first, we build the strategy and process view. Between sessions, we develop the use cases and technical landscape; in the second, we validate choices and translate them into a roadmap and business case. Format and duration are tailored to the organization’s needs.
- Multiple intake conversations with the right stakeholders
- Technical pre-work on applications, data, AI features and APIs
- Interactive sessions with a broad cross-section of the organization
- Time between sessions to develop use cases and choices carefully