Siloed agents unified behind one entry point
Capabilities overview
We design and ship production AI platforms for enterprises, institutions, and founders.
From agentic AI orchestration at enterprise scale to governed data platforms for civic institutions, Banjubits builds systems that turn fragmented operations into a single, governed, human-supervised layer. Five engagements below, spanning five different industries.

Enterprise AI & Silicon MLOps
Enterprise AI & MLOps Modernization
Two production engagements delivered for a leading AI computing company, Azure-native
Seven siloed RAG agents — each on its own stack — consolidated into a single agentic platform. An MCP router and Agent-to-Agent protocol give users one conversational surface across Teams, Slack and Web, with every backend preserved behind lightweight adapters — zero rewrites, zero regression risk. A parallel OpsML engagement modernized semiconductor test automation.
View full engagement detail →Unified experience
One bot across Teams, Slack & Web via the M365 Agents SDK.
Intelligent orchestration
Dual-path MCP routing, A2A cross-agent handoffs, secure document orchestration.
Enterprise foundation
Centralized Entra ID auth, unified Redis + Azure SQL state, one telemetry view.
Phased delivery
Discovery → Foundation → A2A → Scale → Optimize.
Existing backends preserved — zero code change
P90 routing latency at ≥80% first-pass accuracy
Civic & Cultural Institutions
District Connect
For a major cultural & academic district — unifying a leading art museum, a research university & a premier music center
A privacy-first relationship-intelligence layer that unifies engagement history, event calendars, and donor insight across anchor institutions — without replacing any of their existing CRMs.
View full project document →Activation
Community concierge, cross-district discovery portal, cooperative campaign studio.
Intelligence
360° supporter mapping, next-best-action engine, shared affinity scoring.
Foundation
Explicit consent tracking, staff-review mandate — never autonomous outreach.
Architecture
Sits above Tessitura, Blackbaud & Salesforce; salted-hash identity resolution.
Modeled lift in cross-institution engagement
Unified regional audience across all three institutions
Pilot targeting 1,500+ concierge chats & 100+ membership conversions
Workforce Intelligence
LIFT — Labor Intelligence for Tomorrow
For a regional economic development partnership — a regional workforce-intelligence platform
A governed, shared view of regional labor demand, supply, and program outcomes — three analytic views plus an AI Navigator grounded entirely in that same governed data, so partner staff get cited answers instead of assembling reports by hand.
View full engagement brief →Regional Pulse
KPI summary, demand-intensity map, demand-vs-training trend.
Occupation Drill-Down
Demand/supply, skills, geography, ranked program relevance.
Program Funnel
Six-stage conversion, bottleneck analysis, intervention workspace.
AI Navigator grounding — every claim cited to source
Data sources signed under ratified data-use agreements
Autonomous actions — humans approve every step, 120-day delivery
Hiring & Talent
Mentis — AI Interviews. Human Decisions.
Series A conversational AI interview platform, live & pilot-ready
Voice and video AI interviewers hold adaptive, GPT-4-driven conversations with candidates 24/7. A scoring engine returns evidence-backed assessments and an integrity layer flags anomalies for human review — Mentis assesses and recommends, but humans always decide.
View full project brief →1 · Create
Upload a job description; AI generates a structured interview blueprint in 30 seconds.
2 · Interview
Candidates interview on their own time; the AI adapts follow-ups in real time.
3 · Decide
Recruiters review an evidence-backed scorecard and make the final call.
Integrity / cheat-detection accuracy
Self-serve availability, 15–30 min per interview
GDPR / HIPAA-ready foundation, native Greenhouse ATS sync
Education
Meridian — School Management Platform
Piloting at St. Augustine's Senior Secondary School (887 students, est. 1929)
One modular, open-source platform (AGPL-v3) unifying alumni engagement, school administration, and AI-enhanced learning — three systems most schools run separately, or not at all — behind a single login and shared data model for staff, students, parents and alumni.
View full project brief →Profiles & directory
Self-service alumni profiles, searchable by class year and batch.
Transparent giving
Integrated donation processing, quarterly reporting, milestone-based releases.
Events & mentorship
RSVP & ticketing, job board, mentor matching, engagement analytics.
Admin, teacher, parent, student and more — one login each
Alumni, school ops, AI learning — unified under one login
Open-source license — no licensing fees, ever, at any school
Start with clarity
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