AI Integration Sprint • 6 weeks
AI customer support automation for ConstructionNairobi, Kenya
Deflect repetitive questions, draft replies, and escalate safely with human-in-the-loop controls.
Founding cohort: $1,500 (50% off) for first 5 clients • Standard: $3,000 one-time
Explore: all construction pages in Nairobi • ai customer support automation across industries in Nairobi
Week 1: Map workflows
Constraints, data, tools, and success metrics.
Weeks 2–5: Build prototype
Implement the use case with guardrails and iterative testing.
Week 6: Framework + rollout
Implementation framework, SOPs, and a rollout plan.
Common bottlenecks in Construction
- • Progress updates and documentation are inconsistent
- • Site issues get reported late
- • Back-office workflows are fragmented across tools
Workflows we typically touch
- • Daily site reporting
- • Issue triage
- • Document intake (RFIs, photos, notes)
Integrations: Email, WhatsApp, Shared drives, Spreadsheets
What you get
- • Working prototype tailored to construction
- • Implementation framework (architecture + SOPs + rollout plan)
- • Human-in-the-loop guardrails (escalation + auditability)
How this use case works
Outcomes
- • Faster responses
- • Reduced support load
- • Consistent replies
- • Clear escalation
Guardrails
- • Human approval for risky cases
- • Escalation paths
- • Auditability/logging
Implementation approach
- • Map your top question categories and escalation rules
- • Build a knowledge base layer (RAG) over your docs
- • Add safe routing: draft → approve → send (when needed)
More use cases in Nairobi
Same city + industry (construction), different workflows.
Same use case, other industries
Same ai customer support automation approach, adapted to different vertical workflows.
FAQ
Do you operate in Nairobi?
We work remotely with teams across regions. The free assessment clarifies whether the sprint is a fit for your workflows.
Is this only for Construction?
No — this page is tailored to construction, but the sprint works for any SMB with repeatable workflows.
Do we need perfect data to start?
No. We start with workflow mapping and a prototype using sample data, then define the rollout requirements.
Will it hallucinate?
We design for safety: retrieval-based answers, clear escalation, and human approval where required.