People and leadership
Communication, organisational psychology, collaboration and navigating change.
Custom Training & Consulting
Diagnose workflows, prioritise opportunities and design workshops or improvement experiments with your team, with clear scope, owners and measures.
Start with one workflow and clarify what should improve, who owns it and how to measure progress.
Custom Training applies theTailorFit methodto your team: diagnose the challenge, design activities and build agreed outputs.

We assemble a collaborative team around the challenge and expertise needed. Each proposal identifies facilitators, roles, duration and scope before agreement.
Choose workshops, process improvement or AI adoption around the problem. Consulting is scoped and quoted separately from workshop packages.
Our team and approach →Communication, organisational psychology, collaboration and navigating change.
Business Process Improvement, Kaizen, BSC, KPIs and OKRs.
Data, enterprise systems, AI and automation.
Communication That Moves Work Forward · Organisational Psychology for Collaboration · Resilience Leadership
A familiar training challenge
Slides get filed away, momentum fades and the organisation has to restart. We design the work so teams tackle a real challenge and see their next steps before leaving the room.
What your team gains
Separate symptoms from root causes so learning targets the problem that actually matters.
Leave with a roadmap, priorities, owners and next steps clear enough to start the next working day.
A template, checklist, canvas, dashboard outline, prompt framework or workflow tailored to your context.
Align executives, managers and operations around the same problem and course of action.
Summarise the decision or action in a brief that leaders and stakeholders can use.
Give participants a structure, practical instructions and a clear starting rhythm instead of leaving them to work it out alone.
Confidence before you start
Agree the challenge, scope, outputs and evidence of progress so you can make decisions on a verifiable basis.
Define the challenge, scope, baseline and what 'better' means together.
Use the data, processes and constraints the team actually faces—not a distant case study.
Check the deliverables, owners, next steps and review process so work can continue.
How it works
Interview relevant people, look at real job goals, limitations, legacy tools, and team readiness.
Choose topics, activities, case studies, and workshops that directly relate to the customer's business challenges.
Learners don't just listen; they create plans, tools, or prototypes that are the work of their organization.
Arrange what's available, ready to present, or ready to be handed over to the relevant team.
Example deliverables
The output format depends on the problem of each organization, but the main idea is the same: It needs to help teams make decisions easier, work easier, and stay propelled.

Digital Transformation × Kaizen
This starting point is a process-improvement workshop with your team. We follow one process end to end, expose waiting, repeated entry and handoffs, then decide which steps to remove, redesign or support digitally. It is not a commitment to implement an organisation-wide system.
Choose the process, participants, baseline and measures before work begins. The team maps the before-and-after flow, prioritises Kaizen opportunities and drafts a small trial with an owner, measures and a decision gate.
The process owner, frontline staff and team lead validate the real work. IT or data owners join when systems, data or integrations are involved. Scope, outputs and costs are confirmed after discussing your challenge.
Hypothetical Scenarios
The following nine cases are hypothetical scenarios, not client projects or results already achieved. Each shows how a team could use a workshop to analyze a challenge, apply AI appropriately, and design documents, screens, or processes.
Part factory
If defects recur on a production line and production, QA, and engineering each have different hypotheses, the team would use its own defect data in the workshop to rank issues, test hypotheses against evidence, and design small experiments before changing the wider process.
How AI could help: The team could use AI to summarize defect logs, group fault patterns, suggest hypotheses to test, and draft an A3 report covering the problem, root cause, countermeasure, and owner.
Outputs the team would design: defect priority, experiment plan, A3 report live version and daily quality review format.
Hypothetical figures: baselines and targets demonstrate a measurement method and must be reset using the organization’s actual data.
3.8% -> 2.4%Decrease defect rate Measure defect costsCompare before and after the corrective trial 5d> 1 day+Reduce root cause summary timeThe data and figures shown here are hypothetical examples, not client results.
Food Factory/FMCG
If orders change quickly, some materials are scarce, and each team has a different forecast file, the workshop would map the process from demand signals, stock, capacity, and lead time through to escalation rules and decision ownership.
How AI could help: The team could use AI to summarize forecast notes, flag initial anomalies, model higher or lower demand, and draft an S&OP meeting to talk about decisions, not about files
Outputs the team would design: planning rhythm, exception rule, data checklist, S&OP template and decision log for monitoring resolutions
Hypothetical figures: baselines and targets demonstrate a measurement method and must be reset using the organization’s actual data.
6h> (90 mins)Reduce planning meeting times -18%Reduce emergency production plan changes 96%Illustrative target for core-product fulfillmentThe data and figures shown here are hypothetical examples, not client results.
AI/Automation start-up plant
If leadership wants to use AI but the team has scattered use case ideas, the team would compare each idea’s value, cost, and risk. In the workshop, it would gather frontline ideas, score impact, feasibility, data readiness, and risk, then select pilots suited to the first 90 days.
How AI could help: The team could use AI to turn pain points into use cases, find duplicate ideas, draft pilot charters, and prototype prompts or workflows for selected trials.
Outputs the team would design: AI use case portfolio, scoring matrix, pilot charter, risk guardrail and roadmap 30-60-90 days
Hypothetical figures: baselines and targets demonstrate a measurement method and must be reset using the organization’s actual data.
24 use casesSelect three pilots for an initial trial Reduce the risk of misinvestmentbefore buying a large system Calculate value for moneyusing actual pilot costs and measured resultsConsider impact, feasibility, information and risks.
The data and figures shown here are hypothetical examples, not client results.
Hospital/Clinic
If patients complain about long waits across several clinic branches, reception staff, nurses, and branch managers may describe the problem differently. In the workshop, the team would map the journey from booking through follow-up, then compare it with the organization’s wait-time data and information gaps.
How AI could help: The team could use AI to group customer feedback and complaints into pain points, draft patient interview questions, and prioritize quick wins using an impact-effort matrix.
Outputs the team would design: service blueprint, dashboard branch page metrics, checklists reduce repetitive tasks, and a 30-day improvement plan.
Hypothetical figures: baselines and targets demonstrate a measurement method and must be reset using the organization’s actual data.
42 -> 28 minutesReduces average wait time 18% -> 9%Reduce repetition work Measure hours spent on repeated workCompare before and after the process changeThe data and figures shown here are hypothetical examples, not client results.
Hotel/Hospitality
If front-desk staff have several add-on services but offer them inconsistently, some may fear disrupting the guest experience while others may explain too quickly. The team would use guest types, reasons for travel, and front-desk situations to create personas and practice consultative conversations.
How AI could help: The team could use AI to create role-play scenarios, draft persona-based scripts, summarize common objections, and refine wording so it sounds polite, concise, and natural.
Outputs the team would design: upsell playbooks, conversation scripts, objection handling sheets, and weekly KPIs that teams can use to coach themselves.
Hypothetical figures: baselines and targets demonstrate a measurement method and must be reset using the organization’s actual data.
12% -> 18%Add an add-on conversion Measure add-on revenueCompare it with costs and uptake rate -30%Reduce coaching time for new hiresThe data and figures shown here are hypothetical examples, not client results.
Business Guest
Signs: early check-in, get a tax invoice, ask for wifi
Proposed sentence: “If you need a quiet chat space, there is still room for lounge today.”
Goal: Save the Guest Before Selling
Call Center / Customer Support
If a support team handles complaints daily but monthly reports contain only case counts and broad topics, leaders may struggle to see what to fix first. In the workshop, the team would classify de-identified complaints by symptom, cause, owner, and customer impact.
How AI could help: The team could use AI to summarize complaints, detect keyword patterns, propose an initial taxonomy, and draft a monthly improvement brief for leaders.
Outputs the team would design: complaint taxonomy, root cause board, prompt template for report summary and monthly improvement backlog
Hypothetical figures: baselines and targets demonstrate a measurement method and must be reset using the organization’s actual data.
4H> 45 minReduce your weekly report summary time -22%Reduce duplicate complaints in the same topic. +15 pointsAdd first contact resolutionThe data and figures shown here are hypothetical examples, not client results.
Importers & Distributors
If a company sells many product groups but some SKUs occupy warehouse space, move slowly, and tie up cash, sales, warehouse, finance, and purchasing would review the same data in the workshop and classify products by profit and cash-flow role.
How AI could help: The team could use AI to review an initial product table, suggest margin and turnover questions, identify slow-moving SKU patterns, and draft clearance messaging for sales.
Outputs the team would design: product portfolio matrix, stock policy, clearance plan, reorder rule and decision brief for executives
Hypothetical figures: baselines and targets demonstrate a measurement method and must be reset using the organization’s actual data.
Measure cash tied up in stockBefore and after revising the product plan 120 -> 45 daysReduced holding days for stock groups Clear +4.5%Add a gross margin from the product that should be pushed.The data and figures shown here are hypothetical examples, not client results.
Multichannel retail
If sales channels chase their own targets, promotions conflict, and the team is unsure which customers belong in which channel, the workshop would map customer segments, channel roles, margins, and repeat buying before designing a new promotion rhythm and weekly sales review.
How AI could help: The team could use AI to summarize customer reviews, group common questions by channel, draft content angles for each segment, and prepare a weekly sales review template.
Outputs the team would design: channel role map, promotion calendar, customer segment brief, review template and rule what channels to sell
Hypothetical figures: baselines and targets demonstrate a measurement method and must be reset using the organization’s actual data.
+12%Increase total online channel sales -25%Reduce collision promotion +9%Add repeat order from existing customerThe data and figures shown here are hypothetical examples, not client results.
B2B Sales / Dealer Network
If some existing dealers order less often or switch to competitors while sales staff visit every account equally, the workshop team would build a dealer health score from purchasing, product, open-issue, and growth data, then turn it into account-specific follow-up plans.
How AI could help: The team could use AI to summarize customer history from sales notes, suggest initial next-best actions, draft follow-up messages, and group accounts by risk signals.
Outputs the team would design: dealer health score, account plan, pipeline review board and follow-up cadence for sales team
Hypothetical figures: baselines and targets demonstrate a measurement method and must be reset using the organization’s actual data.
35 casesCustomers are found at risk of falling off before the amount is +8%Recover purchases from watch list dealers 2 days> 3 hrsReduce account review timeThe data and figures shown here are hypothetical examples, not client results.
Who is it for?
Executive See the risk direction and what needs to be decided more clearly.
HR / L&D: Ensure the program is linked to the work and explains its value to management.
teamleader Know where to start, who to take responsibility for, and how to follow through on tasks.
Operations Team: Get tools that make the job easier and see how changes are made about yourself.
One course per cohort · Thai-language delivery on weekdays at your organisation
Communication · Organisational psychology · Resilience Leadership
39,000 THB / cohort
1 day / 6 hours: THB 39,000 · 2 days / 12 hours: THB 75,000 · Up to 25 participants
Request a proposal for your team →BSC / KPIs / OKRs · Digital Transformation × Kaizen
49,000 THB / cohort
1 day / 6 hours: THB 49,000 · 2 days / 12 hours: THB 95,000 · Up to 20 participants
Request a proposal for your team →AI Agent · AI Automation · Hermes Agent
59,000 THB / cohort
1 day / 6 hours: THB 59,000 · 2 days / 12 hours: THB 115,000 · Up to 15 participants
Request a proposal for your team →One online briefing of up to 45 minutes; activities adapted from the existing course for one main challenge; facilitator, coordination, digital materials, templates and review during workshop hours.
AI packages include one workshop assistant.
1 day: learn, practise and draft outputs. 2 days: work more deeply on the same course, with feedback and revisions around your team’s challenge.
Venue, catering, travel, accommodation, VAT if applicable, software, English-language delivery, weekends, additional participants and wholly new course design are quoted separately before agreement.
Production deployment and post-workshop follow-up services are not included. Pilot and practice plans are outputs for your team to use afterwards.
Organisational transformation consulting, AI adoption and bespoke process improvement are scoped and quoted separately.
Budgets reflect the scope above. Final pricing and the delivery team are confirmed in the proposal before agreement.
Let's start with your problem.
Don't choose a course, don't know your budget, and don't have the pressure to make an immediate decision. Just tell us what the team is sticking to through the middle form, and we'll help each other see the right way to start.
Use ThinkToFinish's central form to give your team complete context and get back to you faster.