A hands-on working session, not a presentation. We map your processes, identify where AI helps most, then build and deploy one live implementation before you leave.
Most AI workshops end with a slide deck and a long list of possibilities. This one ends with a working AI implementation your team can use the same day.
We facilitate the discovery, run the scoring, select the best candidate together, and build it in the room using Claude as an AI co-worker or Claude Code to deliver a custom application.
Participants do real work, not role-play exercises.
Every AI opportunity is scored against clear business criteria.
You leave with a working implementation, not a report.
Your people drive the session. We facilitate and build.
The session works best when the people who approve direction and the people who own the processes are in the same room. Aim for 4 to 8 attendees covering the functions below.
Define strategic priorities and sign off on scope. Their presence ensures the session stays aligned to what the business actually needs.
RequiredOperations, Finance, HR, Customer Service. They own the processes being mapped and can speak to volume, frequency, and true business impact.
RequiredThe people who do the work every day. They know the bottlenecks, the workarounds, and the exceptions no one else has documented.
RecommendedProvides context on current systems, data availability, and access constraints. Essential for the live build phase to avoid dead ends.
RecommendedEvery session is structured around four concrete outcomes. By the time we close, each one should be checked off.
Systematically document how work flows through your business today, including the steps that cost the most time and produce the most friction.
Apply a structured scoring model to identify which processes are the best candidates for AI based on repetitiveness, data readiness, and business impact.
The group picks one high-impact, high-feasibility candidate and we build and deploy it together before the day ends. No promises, no follow-up sprints.
Document the remaining opportunities in priority order, assign owners, agree success metrics, and define the next milestone for each item on the list.
The workshop runs for half a day to a full day depending on the breadth of processes your team wants to cover. It is structured as a mix of facilitated discussion, collaborative mapping exercises, and a live build session.
We bring the frameworks and the tools. Your team brings the knowledge of how your business actually works. No preparation is required beyond completing a short pre-session questionnaire we send one week before.
The live build portion uses Claude directly as an AI co-worker configured for your workflow, or we use Claude Code to build a lightweight application your team can take away and use immediately.
| Format | Traditional Workshop | TechnoSignage Discovery Workshop |
|---|---|---|
| Output at the end | Slide deck and action list | ✓ Working AI implementation |
| Team involvement | Passive audience | ✓ Active participants in every step |
| Time to first value | Weeks after the session | ✓ Same day |
| Preparation required | Pre-read and case studies | ✓ Short questionnaire only |
| Commitment to proceed | Often implied or pressured | ✓ None. The workshop stands alone. |
Here is exactly what happens, in order, from the week before the session to the moment you walk out with a working AI tool.
We do the groundwork so the session itself is focused on discovery and building, not logistics.
We send a short stakeholder questionnaire covering roles, top three operational pain points, and current tools in use
Confirm attendees: aim for 4 to 8 people covering the right functions (see Intended Audience above)
We review responses in advance and prepare a preliminary process list to accelerate the mapping exercise
No further preparation is required from your team
We open the session by establishing a shared understanding of what the day is for and what Claude can realistically do. No technical jargon. Plain language only.
Introductions and confirmation of the day's agenda
Workshop rules: no wrong answers, focus on problems not tools, every idea gets documented
Plain-language overview of Claude's capabilities and honest boundaries
One shared commitment: we leave today with something working
Show up ready to talk openly about how your business works. No preparation needed beyond what you submitted in the questionnaire.
Shared understanding of the session's purpose, structure, and what success looks like today
This is the core discovery exercise. We systematically map 5 to 7 key business processes using a structured process canvas. The goal is to document exactly how work happens today, not how it should happen.
Facilitator-led whiteboard exercise using a process canvas template
For each process we capture: who owns it, how often it runs, how long it takes, what inputs are required, and where it breaks or slows down
Participants contribute from their own experience, not from documentation
All processes are captured in a shared document in real time
Describe how work actually gets done, including the workarounds and the steps no one has written down. The messier the better at this stage.
Process Inventory Map: a documented list of 5 to 7 business processes with inputs, steps, outputs, owners, and pain points
We take the mapped processes and score each one against three objective criteria to determine which are the strongest AI candidates. This removes guesswork and makes the prioritization defensible.
Repetitiveness: Is the process rule-based, high-volume, and consistent? The more predictable, the easier it is to automate reliably.
Data availability: Does Claude have access to the inputs it needs to act? Text, documents, structured data, or existing system outputs all qualify.
Business impact: How much time, cost, or error rate can be reduced? We express this in concrete terms: hours saved per week, cost per transaction, or error rate reduction.
Provide honest estimates on frequency, time cost, and error rates. Rough numbers are fine. The scoring is relative, not absolute.
AI Opportunity Scorecard: every mapped process scored and plotted, with the top candidates clearly identified
Using the scorecard, the group selects one process to build today. We run a quick feasibility check to confirm the necessary data and access are available before committing.
Review the top 1 to 2 candidates from the Impact vs Effort matrix
Feasibility check: Is the data accessible today? Are the right people in the room to test it? Any approvals or integrations that would block us?
The group commits to one process to build in the live session
Make the call on which process to build. We will advise on feasibility but the selection belongs to your team.
Selected Process Brief: one-page summary of the chosen process, its inputs, expected output, and success criteria for today's build
This is where the session earns its name. We build the selected process live, in the room, using real inputs from your business. Attendees participate at every step: providing data, testing outputs, and giving feedback in real time.
Two Build PathsWe configure Claude with a custom prompt and workflow tailored to the selected process. Connect it to real data, test it live against actual examples, and teach the team how to use it from day one. No code required.
We use Claude Code to build a lightweight web application or automation script that handles the selected process end to end. Demoed live with real inputs and handed over to your team before the session closes.
Your team provides the real-world inputs: documents, data, examples, or prompts
We build iteratively, testing and refining based on live feedback from participants
The implementation is documented as we go so there is no knowledge gap after we leave
Bring real examples of the process: actual documents, typical inputs, or a description of a recent case you would want the system to handle.
Working AI implementation, live and usable before you leave. Either a configured Claude workflow or a built application, with access and documentation.
We close the session by locking in what was built and mapping the path forward for everything else on the scorecard.
Document the implementation: access details, usage instructions, prompt configuration or app link
Identify the next 2 to 3 processes from the scorecard and assign an owner to each
Define 30-day success metrics: how will you know the live implementation is working?
Agree a timeline and next milestone for the broader AI roadmap
Assign internal owners for the roadmap items before you leave. No implementation happens without someone accountable on your side.
AI Implementation Roadmap: prioritized next steps with owners, timelines, and success metrics for each item
Every participant leaves with six tangible outputs. Not a list of recommendations. Actual documents, tools, and access that your team can act on immediately.
A documented record of every process mapped during the session, with owners, inputs, outputs, and identified bottlenecks.
Every mapped process scored against the three AI opportunity criteria and plotted on an Impact vs Effort matrix.
A live, usable AI tool built during the session. Either a configured Claude workflow or a custom-built application, with access handed over before you leave.
A prioritized list of the remaining AI opportunities from the scorecard, with assigned owners, estimated effort, and agreed next milestones.
Step-by-step instructions for using the live implementation, including the prompt configuration or app documentation your team needs to operate it independently.
Agreed measures for evaluating whether the live implementation is working as expected, so you can assess value before committing to further investment.
During the live build we use one of two paths depending on the selected process and your team's requirements. Both are built on Claude, Anthropic's AI platform.
We configure Claude directly as an AI co-worker for your selected process. Using a custom prompt and workflow tailored to your business, your team can interact with Claude through claude.ai to handle tasks from day one. No code required.
We use Claude Code, Anthropic's developer tool, to build a lightweight application or automation script tailored to your process. Built live during the session and handed over with full documentation. Your team can use and adapt it from day one.
No commitment. No slides. Just a working session and something real to show for it. Book a discovery workshop and leave the same day with a live AI implementation.