All case studiesAIL Property

AI Sales Intelligence Platform

Built an AI-powered sales intelligence platform that turns fragmented CRM data into prioritised buyer opportunities.

Sector
UK property
Region
United Kingdom
Status
Live in production
  • Unified customer data layer
  • AI lead scoring & prioritisation
  • Prospect-to-property recommendation engine
  • Governed outreach & engagement tracking

What we built

  1. One list of every buyer, ranked by how likely each is to buy.

  2. Each listing shows its best-fitting buyers first, with the reason for every match.

  3. Flags buyers showing fresh interest and suggests the next step for staff to approve.

  4. Sales staff message buyers on WhatsApp inside the same system, with every conversation kept.

  5. Outreach can quote only the published price, availability and approved wording for each listing.

The data shown is invented.

AI Sales Intelligence Platform: Every buyer scored
Every buyer scoredOne list of every buyer, ranked by how likely each is to buy.
AI Sales Intelligence Platform: Buyers matched to listings
Buyers matched to listingsEach listing shows its best-fitting buyers first, with the reason for every match.
AI Sales Intelligence Platform: Who to call today
Who to call todayFlags buyers showing fresh interest and suggests the next step for staff to approve.
AI Sales Intelligence Platform: WhatsApp, on the record
WhatsApp, on the recordSales staff message buyers on WhatsApp inside the same system, with every conversation kept.
AI Sales Intelligence Platform: Only approved facts sent
Only approved facts sentOutreach can quote only the published price, availability and approved wording for each listing.

The challenge

AIL had accumulated ~100,000 investor and buyer records across fragmented systems over more than a decade. Inconsistent data quality and limited visibility made prospect prioritisation and property matching highly manual and time-consuming.

What we did

  1. 01

    Assessed the existing CRM landscape, data quality, workflows, and sources across the organisation.

  2. 02

    Consolidated, cleaned, and structured customer data into a unified system of record.

  3. 03

    Built a proprietary lead-scoring model to identify and rank prospects based on their likelihood to convert.

  4. 04

    Developed an AI recommendation engine that matches prospective buyers with relevant live inventory.

  5. 05

    Introduced governed outreach and WhatsApp engagement tracking to give the sales team visibility into customer interactions and follow-up activity.

Outcomes

  1. 01

    Transformed a fragmented lead base into a structured, actionable sales pipeline.

  2. 02

    Enabled the team to prioritise thousands of records in weeks rather than months.

  3. 03

    Improved the speed from prospect identification to property recommendation and outreach.

  4. 04

    Created a governed data and outreach workflow designed to support compliance and consistent customer engagement.

  5. 05

    Established a scalable foundation for future AI-led sales automation.

Thousands

of buyer records cleaned, scored and prioritised

10×

increase in the volume of customer records the team could work through daily

<24 hrs

turnaround for product enhancements and workflow changes

AIL now has a single intelligence layer for identifying, matching and engaging high-potential buyers.

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ronak@tenra.ai

Ronak DineshkumarCo-founder

We are a team of Forward Deployed Engineers across the globe.

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