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PROGRAM 06 · TEAM TRAINING

AI & Data for Operations Professionals

Turn SOPs, reports and repeat tasks into systems that run themselves.

8 sessions3 modules4 hands-on projects3 days · 9 am–5 pmCertificate on completion
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Who this course is for

  • Operations Managers, COOs' offices and Business Excellence teams
  • Factory, plant and branch operations staff
  • Admin, facilities and project coordination teams
  • Operations teams in manufacturing, services, NGOs, e-commerce and hospitality

What your team will be able to do

  • Map a real process, find the waste and write clear SOPs
  • Turn meetings into action trackers that people actually follow
  • Build daily operations reports and find bottlenecks in your own data
  • Deploy four working automations in your own operations team
How it runs

3 days at your office, 8 sessions

Three sessions a day plus a hands-on build lab every afternoon. Day 3 ends with capstone presentations.

Day 1

9:00 am – 5:00 pm

AI chatbots for processes, SOPs and meetings

9:00–10:30S1Prompt engineering for operations
10:30Tea break
10:45–12:15S2Process mapping, SOPs & work instructions
12:15Lunch & prayer
1:00–2:30S3Meetings, coordination & communication
2:45–4:30LABBuild lab: process map and SOPs on your own process
4:30–5:00Q&A and day recap

Day 2

9:00 am – 5:00 pm

Bottleneck analytics, then the first two builds

9:00–10:30S4Formulas & operations data cleaning
10:30Tea break
10:45–12:15S5Operations analytics & bottlenecks
12:15Lunch & prayer
1:00–2:30S6Projects 01 & 02: SOP assistant & alerts
2:45–4:30LABBuild lab: KPI dashboard, assistant and alerts on your data
4:30–5:00Q&A and day recap

Day 3

9:00 am – 5:00 pm

Last two builds and the capstone

9:00–10:30S7Project 03: Requisition & work requests
10:30Tea break
10:45–12:15S8Project 04: Challan & report extraction
12:15Lunch & prayer
1:00–3:00LABCapstone build clinic
3:15–4:30LABCapstone presentations
4:30–5:00Certificates and next steps
Group: 10–40 people from one organisationSame content and projects in both formatsBangla delivery with English technical termsEvery session ends with a deliverable
Curriculum

8 sessions, one build in each

3 modules · 8 sessions · 4 hands-on projects

PART 1AI Chatbots for Operations WorkSessions 1–3

Chatbot Landscape & Tool Selection

  • Gemini, ChatGPT, Claude, Copilot and DeepSeek: strengths for operations work (SOP writing, process maps, meeting minutes, KPI tables)
  • Free vs paid tiers; a workflow that needs no international payment card
  • Bangla vs English output quality; when to draft in English and translate
  • Which tool for a long document, which for a formula, which for a polished letter

Prompt Engineering Fundamentals

  • What a prompt is; why the same question gives different answers
  • The four-part structure: role, context, task, output format
  • Role prompting: act as an operations manager, process improvement consultant, quality auditor or plant manager
  • Controlling output: length, tone, language, table or bullet format

Advanced Prompting Techniques

  • Few-shot prompting: teaching the model with examples of your own operations work
  • Step-by-step reasoning for multi-part tasks such as finding the root cause of repeated delays or comparing two shift plans
  • Constraint prompting: what to include, what to exclude, what to never assume
  • Chained prompts: breaking a process improvement (current flow → waste → root cause → fix → new SOP) into a sequence of smaller steps

Iteration & Prompt Library Building

  • Why the second prompt matters more than the first; refining instead of restarting
  • Diagnosing a bad output: vague instruction, missing context or wrong tool
  • Building reusable prompt templates for repeated operations tasks
  • Testing a prompt before it goes into daily use

Data Privacy & Verification Discipline (Core)

  • What must never be pasted: employee personal files, supplier rates and contracts, security and access procedures, client data, internal audit findings
  • Anonymising data before prompting; safe vs unsafe operations use cases
  • Hallucination awareness; verifying every figure, date, name and legal reference
  • The verification rule: AI drafts, a person checks before anything leaves the building
DELIVERABLEa personal prompt library of 10 templates for your repeated operations tasks.
PART 2Operations Data Analysis in Excel & Google SheetsSessions 4–5
PART 3Applied Projects: AI Assistants & AutomationSessions 6–8
Applied projects

Four automations, running in your organisation

01Session 6

SOP & Operations Policy Assistant

Supervisors, new joiners and shift staff ask about a procedure and get an answer from current SOPs, with the section cited.

  1. INSOP manual & safety rules
  2. AIGrounded Gemini assistant
  3. OUTAnswer with the section cited
Built with Google AI Studio
02Session 6

Licence, Maintenance & Audit Alerts

Licence renewals, preventive maintenance, fire drills, service contracts and audit deadlines checked daily, with alerts 30, 15 and 7 days ahead.

  1. INLicence & maintenance tracker
  2. RUNDaily Make scenario
  3. OUTAlert to the right owner
Built with Make · Sheets · Gmail
03Session 7

Purchase Requisition & Work Requests

Requisitions and work requests routed by amount and category, with SLA reminders and escalation for overdue jobs.

  1. INRequisition & work request form
  2. RULESApproval routing script
  3. OUTLogged request with an owner
Built with Apps Script · Forms
04Session 8

Challan & Inspection Report Extraction

Delivery challans and maintenance job cards become clean rows, with quantities matched to the PO and repeated faults flagged.

  1. INChallans & job cards
  2. AIGemini structured extraction
  3. OUTChecked rows in your sheet
Built with Gemini API · Drive

Capstone presentation

Each person presents one automation built for their own workplace.

Day 3 afternoon
Applied across every session

Responsible & Ethical AI in Operations

Fairness & Non-Discrimination

  • Where bias enters operations decisions: data, wording, criteria and past patterns
  • Proxy discrimination: address, age, gender or background inferred indirectly

Privacy & Data Protection

  • Data minimisation: collect only what the decision requires
  • Retention and deletion of employee, supplier and contractor data

Workplace Safety & Fair Treatment of Staff

  • AI never replaces a safety inspection or a qualified engineer's judgement
  • Productivity data is used to fix processes, not to secretly rank people

Accountability & Human Oversight

  • Human-in-the-loop by design: AI recommends, a named person decides
  • Who owns an AI-assisted decision when it is challenged

Workforce Impact & Your AI Use Policy

  • Talking to operations teams about AI without triggering job-loss fear
  • Reskilling and role redesign as AI absorbs routine work
Outcomes

By the end, your team can

  • Choose the right AI tool and write prompts that work first time
  • Maintain a prompt library covering your repeated operations tasks
  • Map a process, find the waste and write clear SOPs and checklists
  • Run meetings that produce action trackers and clean status reports
  • Clean operations logs and build a bottleneck and KPI dashboard
  • Build and deploy automations with Make, Apps Script and the Gemini API
  • Apply fairness, transparency and privacy to every AI-assisted decision

And leaves with

A process map, two SOPs and their checklists
An action tracker and a weekly status template
An operations KPI dashboard with a bottleneck analysis
A grounded sop & operations policy assistant your colleagues can use
A licence, maintenance & audit alert engine that reaches the right owner
Four deployed automations running in your own organisation
A written AI use policy for your own operations team

Tools your team will use

Chatbots
ChatGPTGeminiClaudeCopilotDeepSeek
Content
CanvaGammaCapCutGoogle Slides
Data
Microsoft ExcelGoogle SheetsPower Query
Workspace
GmailCalendarMeetFormsDrive
Automation & AI builds
MakeGoogle AI StudioApps ScriptGemini API
Operations tools
MermaidDraw.ioLooker StudioGoogle Meet transcripts

What participants need

  • A laptop with Excel and a Google account
  • Basic Excel comfort (VLOOKUP, Pivot Tables) and one real process or daily log to work on
  • One real work file to practise on from Session 2
  • No coding background required; free tiers only

How your team will learn

  • build-along classes (you work while the trainer works)
  • practise on your own workplace file, not dummy data
  • every session ends with a deliverable
  • Bangla delivery with English technical terms
  • recordings, prompt library and setup guides
  • certificate after capstone submission
Request a proposal

Bring this program to your operations team

Tell us about your team. We reply within one working day with a plan built around your own documents and workflows.

  1. 1 · A short discovery call with your operations lead
  2. 2 · We tailor examples to your masked files
  3. 3 · Offline at your office, or online live classes
Chat on WhatsApp
Request a proposal
AI & Data for Operations Professionals: Team Training, Offline or Online | Data Solution 360