AI RAG, Agents, & Avatars
Delivering practical AI for regulated teams, people operations, and customer-facing mobile products.
Case Study 1
Retrieval-Augmented Legal Guidance for Albanian Law
The Challenge
An Albanian law office needed instant, trustworthy answers across centuries of civil code, local regulations, and court rulings. Attorneys were spending hours cross-referencing the Official Gazette manually, and junior staff lacked confidence interpreting overlapping statutes.
The Solution
We built a RAG pipeline that embeds the full corpus of Albanian law, chunks content by jurisdiction, and grounds every prompt before the LLM drafts advice. Citations link directly to the Official Gazette so attorneys verify each recommendation against the controlling statute.
- Daily ingestion jobs monitor new decrees, bar bulletins, and EU-aligned updates
- Role-based access controls and audit logs protect client matters
- On-premise deployment meets Albanian data residency requirements
70%
reduction in legal research time per query — from hours of manual cross-referencing to minutes
100%
of answers include direct Gazette citations, giving attorneys an auditable trail for every recommendation
Daily
knowledge updates — new decrees and rulings are embedded automatically without downtime
Case Study 2
Scaling an HR Startup with Intelligent Agents
The Challenge
A fast-growing HR software startup was winning enterprise contracts faster than it could hire support staff. Customer ticket volumes tripled, onboarding requests queued for days, and the operations team was spending most of its time on repetitive data handoffs between systems.
The Solution
We layered specialised AI agents over the startup’s product and back-office stack. Agents triage incoming tickets, draft human-ready replies, orchestrate approval workflows between the SaaS platform, CRM, and finance systems, and surface edge cases to specialists with full context attached.
- Smart intake agents classify and route tickets across HR, payroll, and compliance
- Workflow agents automate multi-step approval chains end-to-end
- Oversight dashboards track agent actions, KPIs, and customer health in real time
3x
ticket volume handled without adding headcount — agents absorb routine queries so the team focuses on high-value work
80%
of approval workflows fully automated — reducing manual handoff time from days to minutes
< 2 min
average first-response time for agent-triaged tickets, down from 4+ hours
Case Study 3
Building a Conversational AI MVP for a US Startup
The Challenge
A seed-stage US startup needed to prove a conversational AI concept before their next funding round. They had domain expertise but no AI engineering bench, and investors expected a working demo with real users — not a slide deck — within 10 weeks.
The Solution
We shipped a lean MVP that combines speech-to-text, retrieval-augmented prompts, and lightweight avatar animation so early adopters can query account data, receive guidance, and hand off to human support when needed.
- Low-latency streaming keeps conversations responsive under 200ms
- Sensitive fields are tokenised before hitting the LLM, meeting US data expectations
- Product analytics track adoption, CSAT, and support deflection from day one
8 weeks
from kickoff to live MVP with real users — two weeks ahead of the investor demo deadline
40%
of support queries deflected by the AI assistant during the pilot, reducing support load immediately
Funded
founders secured their next round using live traction data from the MVP we shipped together
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