Seven sectors · Five capabilities · One governed backbone

Industry first. Technology second.

The five Enterprise AI capabilities are the same everywhere. The data, documents, rules and people they serve are not. Here is how each could apply in seven sectors, from a single site to hundreds of outlets, clinics or depots.

  • 7sector playbooks
  • 5capabilities each
  • 35illustrative examples
Retail & Multi-brandStock and replenishment01HealthcarePatient flow02EducationAdmissions03FMCG & ManufacturingDemand and fill rate04Real EstateLead-to-visit speed05Finance & InsuranceKYC and loan processing06Logistics & TravelRoute optimization07
How to read each playbook

Same five capabilities. Different data, documents and rules.

Each playbook shows where data typically lives, the documents that create the most manual work, and how each capability could apply. Every example carries a suggested boundary: the point where automation stops and people take over.
  • AI assists

    AI retrieves, drafts or summarizes. A person decides what to do with it.

  • Automated within policy

    Routine steps run on their own, inside approved rules and approved sources.

  • Requires approval

    The workflow prepares the action. A named owner signs it off first.

  • Human decides

    Sensitive, regulated or higher-risk calls stay with people, with context attached.

01/07Playbook · outlets

Retail & Multi-brand. Every outlet, every season, one picture.

Multi-outlet and multi-brand retailers run the same workflows hundreds of times a week: checking stock, answering shoppers, refreshing promotions. Small gaps between outlets add up quickly.

  • Stock and replenishment
  • Shopper messaging
  • Festive creatives
Retail & Multi-brand: an illustrative sector scene
Typical scaleOne site to many outlets
Where the data typically lives

Sales, stock and loyalty data

  • POS per outlet
  • Stock and inventory
  • Loyalty platform
  • Outlet spreadsheets
  • WhatsApp and social DMs

Often spread across separate systems and spreadsheets, so the first job is usually connecting them, not adding another tool.

Document load

Supplier invoices and GRNs

  • Supplier invoices
  • GRNs
  • Supplier contracts
  • Lease documents

How the five capabilities could apply

Illustrative examples. Actual scope depends on your systems, data and policies.
  • 01Create

    Festive creatives for every outlet

    An approved product image could be turned into poster and social variants for each outlet, brand and festive season, with the marketing owner approving every asset before it is published.

    Requires approval
  • 02Engage

    Shopper questions, answered from live stock

    Routine questions about availability, prices, delivery and returns could be answered from the approved catalogue and current stock, while complaints and bulk orders are routed to the right outlet.

    Automated within policy
  • 03Understand

    Answers for store staff

    Store staff could ask about product details, current offers, SOPs or return policies and receive answers grounded in approved documents, with the source shown.

    AI assists
  • 04Monitor

    This week's sales and stock by outlet

    Leadership could see sales and stock by outlet from one governed view, with any outlet that falls below an agreed threshold flagged and summarized for investigation.

    AI assists
  • 05Act

    Reorders and inter-outlet transfers

    When an item approaches its minimum level at one outlet, a reorder or transfer request could be drafted under policy. Requests above a budget cap, or that conflict with an existing order, could be held for a manager.

    Requires approval
A practical first pilot

Draft replenishment requests for one product category across a handful of outlets, with a manager approving every request during the pilot.

Questions the AI Radar asks retail teams
  • How fast can management see this week's sales and stock by outlet?
  • How are stock reorders and inter-outlet transfers decided?
  • How are shopper enquiries handled across WhatsApp, calls and DMs?
Answer them in 3 minutes
02/07Playbook · hospitals, clinics and labs

Healthcare. Less paperwork. Clinicians stay in charge.

Hospitals, clinics and labs carry a heavy documentation and coordination load. Many decisions rightly stay with clinicians, so the opportunity sits mostly in the work around them.

  • Patient flow
  • Clinical documentation
  • Pharmacy and consumable stock
Healthcare: an illustrative sector scene
Typical scaleOne site to many hospitals, clinics and labs
Where the data typically lives

Patient, lab and pharmacy records

  • HIS or EMR
  • Lab system
  • Pharmacy system
  • Billing
  • Appointment desk

Often spread across separate systems and spreadsheets, so the first job is usually connecting them, not adding another tool.

Document load

Claims and lab reports

  • Insurance claims
  • Lab reports
  • Prescriptions
  • Consent forms

How the five capabilities could apply

Illustrative examples. Actual scope depends on your systems, data and policies.
  1. 01Create

    Health-awareness and package content

    Awareness flyers, doctor profiles and health-package promotions could be drafted from approved templates and facts, with clinical and compliance review before anything is published.

    Requires approval
  2. 02Engage

    Appointment and channelling enquiries

    Common questions about appointments, doctor availability, test preparation and opening hours could be answered from approved information. Anything clinical, urgent or sensitive would be passed to staff.

    Human decides
  3. 03Understand

    Protocols and policies on hand

    Clinical and admin staff could find protocols, drug information and hospital policies from approved sources, with references they can check. The answer supports judgment rather than replacing it.

    AI assists
  4. 04Monitor

    Admissions, occupancy and revenue

    Management could see admissions, bed occupancy and revenue from validated data, with the freshness of each figure made clear so a nightly refresh is never mistaken for a live view.

    AI assists
  5. 05Act

    Pharmacy and consumable stock

    Reorders for pharmacy and consumable stock could be drafted from usage and stock levels, then routed for approval under procurement policy.

    Requires approval
A practical first pilot

Start by drafting consumable reorders for a single store or ward, with a pharmacist or store manager approving every order.

Questions the AI Radar asks healthcare teams
  • How are pharmacy, consumable and theatre stock orders decided?
  • How do clinical and admin staff find protocols, drug information and hospital policies?
  • How are insurance claims, billing and discharge paperwork handled?
Answer them in 3 minutes
03/07Playbook · campuses and branches

Education. From first enquiry to student success.

Campuses and branches face admissions peaks, fee cycles and a constant stream of parent and student questions, often handled by the same small teams.

  • Admissions
  • Student success
  • Timetabling and fees
Education: an illustrative sector scene
Typical scaleOne site to many campuses and branches
Where the data typically lives

Student, fee and attendance records

  • Student information system
  • LMS
  • Fee records
  • Attendance registers
  • Admissions CRM

Often spread across separate systems and spreadsheets, so the first job is usually connecting them, not adding another tool.

Document load

Applications and certificates

  • Applications
  • Certificates
  • Transcripts
  • Fee documents

How the five capabilities could apply

Illustrative examples. Actual scope depends on your systems, data and policies.
01
Create · Creative and content production

Intake campaigns by programme

Admission campaigns, open-day posts and course flyers could be generated as programme and intake variants, then reviewed by the marketing team before each campaign goes live.

Requires approvalThe workflow prepares the action. A named owner signs it off first.
Explore AI Creative & Content Automation
A practical first pilot

Answer common admissions questions for one programme during one intake, with staff reviewing every escalation.

Questions the AI Radar asks education teams
  • How are parent and student enquiries handled?
  • How fast can leadership see enrolment, fee collection and attendance by campus?
  • How are applications, certificates, transcripts and fee documents processed?
Answer them in 3 minutes
04/07Playbook · plants, depots and distributors

FMCG & Manufacturing. Demand, depots and dealers in step.

Plants, depots and distributors depend on a shared picture of demand, stock and fill rate. When each site keeps its own numbers, planning turns into reconciliation.

  • Demand and fill rate
  • Dealer ordering
  • Plant uptime
FMCG & Manufacturing: an illustrative sector scene
Typical scaleOne site to many plants, depots and distributors
Where the data typically lives

Production, stock and distributor sales data

  • ERP
  • Warehouse system
  • Distributor sales reports
  • Sales-rep spreadsheets
  • Production logs

Often spread across separate systems and spreadsheets, so the first job is usually connecting them, not adding another tool.

Document load

POs and quality certificates

  • Purchase orders
  • Quality certificates
  • Distributor claims
  • Export documents

How the five capabilities could apply

Illustrative examples. Actual scope depends on your systems, data and policies.
  • 01Create

    Pack and trade-promotion assets

    Pack visuals, trade promotions and social campaigns could be produced as region and promotion variants, checked against brand guidelines before approval.

    Requires approval
  • 02Engage

    Dealer and distributor queries

    Dealer questions about stock, price and delivery could be answered from current approved data, with orders and claims routed to the right sales representative.

    Automated within policy
  • 03Understand

    Specs, price lists and SOPs

    Sales reps and plant staff could find price lists, product specifications, SOPs and quality procedures in one place, grounded in the current approved version.

    AI assists
  • 04Monitor

    Output, stock and secondary sales

    Production output, depot stock and secondary sales could sit in one governed view, with fill-rate exceptions flagged by region for planners to investigate.

    AI assists
  • 05Act

    Depot replenishment

    Depot replenishment and raw-material orders could be drafted from demand signals and agreed rules, with larger commitments and supplier changes routed for approval.

    Requires approval
A practical first pilot

Flag fill-rate exceptions for one region and route them to planners, before automating any order.

Questions the AI Radar asks FMCG and manufacturing teams
  • How are production plans, raw-material orders and depot replenishment decided?
  • How fast can you see production output, stock and secondary sales?
  • How are dealer, distributor and retailer orders and queries handled?
Answer them in 3 minutes
05/07Playbook · projects and sales offices

Real Estate. From first enquiry to final instalment.

Projects and sales offices depend on lead-to-visit speed, accurate unit information and steady collections, often spread across agents, portals and spreadsheets.

  • Lead-to-visit speed
  • Collections
  • Project tracking
Real Estate: an illustrative sector scene
Typical scaleOne site to many projects and sales offices
Where the data typically lives

Leads, unit inventory and payment schedules

  • CRM
  • Unit inventory
  • Payment schedules
  • Agent spreadsheets
  • Portal and social leads

Often spread across separate systems and spreadsheets, so the first job is usually connecting them, not adding another tool.

Document load

Sale agreements and statements

  • Sale agreements
  • Statements
  • Title documents
  • Approvals

How the five capabilities could apply

Illustrative examples. Actual scope depends on your systems, data and policies.
  1. 01Create

    Listing and launch creative

    Project brochures, listing posts and ad creatives could be prepared from approved unit information, with sign-off before publication. Preparing an ad campaign would not authorize its spend.

    Requires approval
  2. 02Engage

    Buyer enquiries to site visits

    Questions about availability, prices and payment plans could be answered from current unit inventory, and interested buyers could be offered a site-visit slot and routed to an agent.

    Automated within policy
  3. 03Understand

    Unit specs and payment plans

    Agents could find unit specifications, prices, legal documents and payment plans quickly, with answers grounded in the latest approved versions.

    AI assists
  4. 04Monitor

    Bookings, visits and collections

    Bookings, site visits and collections could be tracked by project, with overdue instalments flagged to the collections team.

    AI assists
  5. 05Act

    Instalment reminders

    Routine instalment reminders and receipts could be sent within agreed rules, while disputes and changes to payment plans stay with people.

    Automated within policy
A practical first pilot

Answer buyer enquiries for one project and book site visits, with agents reviewing every handover.

Questions the AI Radar asks real estate teams
  • How are buyer enquiries handled?
  • How fast can you see bookings, site visits and collections?
  • How are booking forms, instalment reminders and receipts handled?
Answer them in 3 minutes
06/07Playbook · branches and channels

Finance & Insurance. Faster service. Controls intact.

Branches and channels operate under close regulation, so auditability and clear approval paths matter as much as speed.

  • KYC and loan processing
  • Fraud monitoring
  • Service queues
Finance & Insurance: an illustrative sector scene
Typical scaleOne site to many branches and channels
Where the data typically lives

Customer, loan or policy, and KYC records

  • Core banking or policy system
  • CRM
  • KYC records
  • Reporting spreadsheets
  • Contact center

Often spread across separate systems and spreadsheets, so the first job is usually connecting them, not adding another tool.

Document load

KYC and loan files

  • KYC documents
  • Loan files
  • Policy forms
  • Regulatory reports

How the five capabilities could apply

Illustrative examples. Actual scope depends on your systems, data and policies.
01
Create · Creative and content production

Compliant product campaigns

Product campaigns and awareness posts could be drafted from approved product terms, with compliance review required before anything is published.

Requires approvalThe workflow prepares the action. A named owner signs it off first.
Explore AI Creative & Content Automation
A practical first pilot

Check incoming loan files for missing documents at one branch, with officers confirming every flag.

Questions the AI Radar asks finance and insurance teams
  • How are KYC documents, loan files and policy forms processed?
  • How do you monitor fraud, AML flags and regulatory compliance?
  • How are loan applications, approvals and monthly regulatory reporting processed?
Answer them in 3 minutes
07/07Playbook · depots and routes

Logistics & Travel. Every trip, from booking to proof of delivery.

Depots and routes generate constant status questions and a long paper trail for every trip. Much of it is routine, and much of it is time-sensitive.

  • Route optimization
  • Tracking updates
  • Trip documents
Logistics & Travel: an illustrative sector scene
Typical scaleOne site to many depots and routes
Where the data typically lives

Bookings, vehicle tracking and billing data

  • Booking system
  • Vehicle tracking
  • Billing
  • Depot spreadsheets
  • Dispatcher calls

Often spread across separate systems and spreadsheets, so the first job is usually connecting them, not adding another tool.

Document load

Bills of lading, customs papers and PODs

  • Bills of lading
  • Customs papers
  • Proofs of delivery
  • Trip sheets

How the five capabilities could apply

Illustrative examples. Actual scope depends on your systems, data and policies.
  • 01Create

    Service and route announcements

    Service promotions, route announcements and social content could be produced as variants per lane or customer segment, and approved before release.

    Requires approval
  • 02Engage

    "Where is my shipment?"

    Tracking, quote and ETA questions could be answered from booking and tracking data where integrations allow, with complex quotes routed to the sales desk.

    Automated within policy
  • 03Understand

    Tariffs, customs rules and contracts

    Staff could find tariffs, customs rules, SOPs and client contract terms, with answers grounded in the current approved documents.

    AI assists
  • 04Monitor

    Trips, delays and margin by route

    Trips, delays and margin per route could be visible in one view, with delays above an agreed threshold flagged to the operations team.

    AI assists
  • 05Act

    Proof of delivery to invoice

    Proofs of delivery could be matched to trips and invoices prepared within agreed rules, with mismatches held for review.

    Automated within policy
A practical first pilot

Answer "where is my shipment" questions for one customer segment from tracking data, escalating anything unclear.

Questions the AI Radar asks logistics and travel teams
  • How are shipment and booking enquiries handled?
  • How are trip sheets, proof-of-delivery and customer invoicing handled?
  • How fast can you see trips, delays and margin per route?
Answer them in 3 minutes
The whole map

Thirty-five starting points. One page.

Every example above, side by side. Select any cell to jump to its playbook. The dot shows the suggested boundary for that example.
Illustrative Enterprise AI examples by industry and capability
Industry / capability 01 Create 02 Engage 03 Understand 04 Monitor 05 Act
Retail & Multi-brandRequires approval: Festive creatives for every outletAutomated within policy: Shopper questions, answered from live stockAI assists: Answers for store staffAI assists: This week's sales and stock by outletRequires approval: Reorders and inter-outlet transfers
HealthcareRequires approval: Health-awareness and package contentHuman decides: Appointment and channelling enquiriesAI assists: Protocols and policies on handAI assists: Admissions, occupancy and revenueRequires approval: Pharmacy and consumable stock
EducationRequires approval: Intake campaigns by programmeAutomated within policy: Admissions and fee questionsAI assists: Policies, syllabi and proceduresAI assists: Enrolment, fees and attendance by campusAutomated within policy: Fee reminders within agreed rules
FMCG & ManufacturingRequires approval: Pack and trade-promotion assetsAutomated within policy: Dealer and distributor queriesAI assists: Specs, price lists and SOPsAI assists: Output, stock and secondary salesRequires approval: Depot replenishment
Real EstateRequires approval: Listing and launch creativeAutomated within policy: Buyer enquiries to site visitsAI assists: Unit specs and payment plansAI assists: Bookings, visits and collectionsAutomated within policy: Instalment reminders
Finance & InsuranceRequires approval: Compliant product campaignsHuman decides: Service queue questionsAI assists: Product terms and circularsAI assists: Disbursements and overdue accountsHuman decides: KYC and loan file checks
Logistics & TravelRequires approval: Service and route announcementsAutomated within policy: "Where is my shipment?"AI assists: Tariffs, customs rules and contractsAI assists: Trips, delays and margin by routeAutomated within policy: Proof of delivery to invoice
  • AI assists
  • Automated within policy
  • Requires approval
  • Human decides
Don't see your industry?

The capabilities are not tied to a sector. Your workflows are what matter.

If your teams spend time on reporting, customer replies or repetitive back-office work, the same building blocks could apply. The AI Radar includes a general path for other services, so you can still get a score, a seven-axis radar and your likely starting points.

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