GovTech · AI / Automation
AutoBridge: GovTech AI Triage
AI platforms for government service automation, citizen communication triage and automated contracting.
- Location
- Public sector agencies
- Duration
- 9 months
- Engagement
- Managed delivery pod (AI engineering and backend)
Challenge & scope
Requirements
- 1Classify more than 10,000 daily citizen communications into 50+ categories.
- 2Provide a full, immutable audit trail for every automated decision.
- 3Draft policy-aligned responses for human approval.
- 4Automate RFP response generation from a controlled knowledge base.
“Replace manual mail-room triage with an auditable AI system that routes, classifies and drafts responses in minutes rather than days.”
Key deliverables
- LLM triage engine with RAG for policy-aware classification
- Immutable audit logging with decision explanations
- Human review queues with confidence thresholds
- Automated RFP drafting pipeline
- Evaluation harness with regression test suites
Technical execution
Retrieval-Grounded Classification
Every classification is grounded in agency policy documents retrieved from a vector store, so decisions are explainable and consistent.
Confidence-Based Routing
Low-confidence items route to human reviewers, and reviewer corrections feed back into the evaluation set.
Compliance by Design
Append-only audit logs and role-based access satisfied a federal compliance audit with zero findings.
Technical stack
AI
- Azure OpenAI
- LangChain
- pgvector
Backend
- Python 3.12
- FastAPI
- Celery
Infrastructure
- Azure
- PostgreSQL
- Redis
- Docker
QA/DevOps
- Pytest
- Evaluation harness
- GitHub Actions
Let's build your next platform together.
Get in touchFeatures & outcomes
Triage Accuracy
99% classification accuracy across 50+ categories.
Response Time
73% reduction in average citizen response time.
Audit Ready
Compliance audit passed with zero findings.
Client benefits
- Senior AI engineering without building an in-house ML team
- Explainable decisions acceptable to oversight bodies
- Human-in-the-loop design that staff trusted
- Weekly demos with agency stakeholders
Strategic outcomes
- Faster, more consistent citizen service
- Reduced backlog and overtime costs
- A reusable AI platform for other agency workflows
- A documented evaluation process for future models
Project team
Roles on the Menna AI side of this engagement.
Delivery Lead
Owned cadence, stakeholder communication and acceptance.
AI Architect
Designed the RAG pipeline, evaluation harness and guardrails.
Backend Engineers
Built the FastAPI services, audit logging and review queues.
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We reply within one business day. Based in Addis Ababa, working with partners in Ethiopia and beyond.
- 2026
- Founded in Addis Ababa, Ethiopia
- 2
- Focus areas: software, networking & IT
- 4
- Core values: Service, Wisdom, Stewardship, Excellence
- 3
- Founding leadership team