KINDIكندي

Engagement Blueprints

The shape of the work, with the names left out.

We do not trade on client names. Engagements are confidential by default. What we can publish is the blueprint: the scope, the sequence, the team, and the numbers we commit to move.

01Government

Arabic-first citizen assistant for a service ministry

A ministry serving millions of citizens, with a contact center absorbing routine inquiries that could resolve in seconds, and a mandate to serve citizens in their own language, dialect included, not just fusha.

Team:
4 engineers · 1 lead · ministry SMEs embedded
Timeline:
12 weeks to assisted launch, 6 months to full rollout

What gets built

  • Dialect-aware assistant across web and WhatsApp, grounded in the ministry’s actual policy corpus
  • Escalation design: uncertain or sensitive cases route to human agents with full context attached
  • Arabic evaluation suite covering MSA and Gulf dialect variants, gating every release
  • Sovereign deployment with complete audit trails for oversight bodies

The numbers we sign up to move

  • Containment rate on routine inquiries, measured against the call baseline
  • Arabic answer accuracy vs. the eval suite, published internally per release
  • Median citizen wait time for the cases that still need a human
02Financial Services

Agentic back-office for a retail bank’s exceptions desk

A bank whose operations team clears thousands of payment exceptions, disputes, and reconciliation breaks monthly. Experienced staff spend most of their day gathering context that systems already hold.

Team:
3 engineers · 1 lead · operations and compliance embedded
Timeline:
10 weeks to shadow mode, 16 weeks to tiered autonomy

What gets built

  • Agent workflows that assemble case context, draft resolutions, and file the audit record
  • Risk-tiered autonomy: low-value clears run straight through, high-value queue for approval
  • Evaluation harness on historical cases before the system touches a live one
  • Full action logging designed with compliance in the room from week one

The numbers we sign up to move

  • Cost and cycle time per case vs. the pre-agent baseline
  • Straight-through rate at each autonomy tier, expanded only on eval evidence
  • Zero unaudited actions: the number that must stay at zero
03Enterprise

LLM platform consolidation for a multi-division group

A group where five divisions built five AI stacks with five vendors: spend growing faster than value, security reviewing everything twice, and no one able to say what a use case costs.

Team:
5 engineers · 1 lead · group IT and security embedded
Timeline:
3 weeks assessment, 10 weeks core platform, 6 months full migration

What gets built

  • One governed gateway: routing, fallbacks, caching, and per-division cost attribution
  • Shared retrieval and fine-tuning pipelines inside the group’s residency boundary
  • Migration of existing workloads without breaking the teams that built them
  • A platform playbook so the next use case onboards in days, not procurement cycles

The numbers we sign up to move

  • Cost per use case, visible for the first time and trending down
  • Time-to-production for a new use case, in weeks not quarters
  • Share of model traffic through the governed gateway, driven to 100%

These blueprints describe how Kindi structures engagements of each shape: scope, sequencing, staffing, and success metrics. Baselines and results are always measured per client and agreed before build; our approach explains how.

Which blueprint is closest to your problem?

Tell us, and we’ll adapt it to your systems, your regulator, and your baseline, in writing, before you commit to anything.