Stories to help your team visualise change

Case studies help decision‑makers and front‑line staff understand what an AI Factory pilot actually looks like in their world—not just in a demo.

Show realistic starting points, not idealised data and processes.

Make KPIs concrete: TTQ, FCR, backlog, manual hours, working capital.

Highlight risks, constraints, and what did not work as expected.

Provide templates for your own internal communications and approvals.

Distributor — SmartQuote and OpsRAG

Industry: B2B distribution (building materials). Job: respond to RFQs faster and reduce pricing errors while freeing senior staff from repetitive questions.

Problem: RFQs handled via shared email inbox, Excel price lists, and ad‑hoc approvals. TTQ often > 24 hours, with frequent rework.

Solution: SmartQuote pilot connected email, ERP price lists, and discount rules; OpsRAG indexed product and policy documents for internal questions.

Results (targets and measured): TTQ reduced from 24h median to ~10h; manual effort per RFQ cut by ~50%; fewer escalations to sales managers for standard pricing.

Quote (placeholder): “The team now has a clear view of RFQs in progress, and standard quotes move much faster.” — Commercial Director.

Hospitality — WhatsApp CX and OpsRAG

Industry: multi‑branch F&B. Job: handle reservations, menu questions, and delivery status queries on WhatsApp without overloading staff.

Problem: Branch managers spent time triaging WhatsApp messages and answering the same questions repeatedly. Response times were inconsistent.

Solution: WhatsApp CX pilot for FAQs, menu queries, and delivery status; OpsRAG assistant for SOPs and HR policies for managers.

Results (targets and measured): average response time reduced; a significant share of FAQ‑type messages resolved without manual intervention; better visibility into topics and peak times.

Quote (placeholder): “Guests get answers quickly, and managers can focus on operations not chat threads.” — Operations Manager.

Your future case study, designed in advance

We design each pilot with a potential case study in mind—whether or not you choose to make it public.

Before:

baseline process description, metrics, and qualitative pain points.

After:

pilot scope, what changed, and measured outcomes against targets.

How:

architecture overview, guardrails, PDPL stance, and roles involved.

KPIs:

TTQ, FCR, AHT, backlog, error rates, and relevant financial proxies.

Lessons:

what worked, what did not, and next steps decided.

Co‑create a case‑study with your team

We can run a short working session with your team to sketch a case‑study outline before the pilot starts—so everyone knows what success looks like.

Define the “before” story and why change is needed.

Agree on which metrics and anecdotes matter to leadership.

Capture quotes from sponsors and front‑line users at the right time.

Decide which parts may be public and which are for internal use only.

Schedule a case‑study working session Book a 30‑minute discovery call

LeenAI builds an AI Factory for Saudi and GCC SMEs, with in‑Kingdom and PDPL‑aware deployment options, so you can cut time‑to‑quote, give clearer answers, and deliver smoother WhatsApp‑first customer experiences.