BES — Business Ecosystem Knowledge Routing System (Prototype)
B BES · Business Ecosystem Knowledge Routing System Phase 1 · Prototype
v0.1 · Nanaimo region
CN City of Nanaimo · Econ Dev
Layer 1 + 2 + 3 · Active Routing

Question feed & AI routing

Questions from across the region land here. The AI engine classifies each one, ranks the most likely responders, and learns from every answer, pass, or silence.

Post a new question

Layer 1

Anything from finance, ops, HR, regulation, or market development. The AI will classify and route.

The AI engine will classify & route automatically.
Layer 2 · AI Routing Engine

Select a question

Listening to ecosystem signals…
Click any question on the left to see how the AI classifies it and ranks responders.
Layer 4 · Aggregated Signals

Community intelligence

A real-time view of what businesses in the Nanaimo region actually need — assembled from the patterns of every question, answer, pass, and silence in the system.

Questions / 30 days
147
▲ 28% vs. previous period
Median time to answer
4.2h
▼ 2.1h faster than baseline
Active responders
38
▲ 6 orgs joined this month
Capacity gaps detected
3
Topics with sustained no-response

Sector trend signals

Question clusters that are accelerating relative to last month — early indicators of emerging pressures.
Workforce housing & staff retention
31 questions
▲ 64%
BC ESG / disclosure rules
24 questions
▲ 51%
Indigenous procurement & partnerships
19 questions
▲ 40%
Commercial lease renegotiation
17 questions
▲ 22%
CRA / payroll compliance
12 questions
— stable
Tech adoption (AI tools, automation)
10 questions
▲ 18%
General financing / capital access
9 questions
▼ 12%

Ecosystem gap alerts

Where the system detects a capacity gap — questions with sustained low or no response.

Workforce housing — no specialized responder

14 questions in 21 days, 11 still unanswered. Routing engine has no high-confidence match. Recommend recruiting a dedicated organization.

Slow response on BC ESG disclosure

Median 38h to answer vs. 4.2h system-wide. Two organizations claim expertise but rarely engage — profile review suggested.

Emerging cluster — Indigenous procurement

19 questions in 30 days, growing. Snuneymuxw Economic Development is the strongest responder. Worth designing a dedicated pathway.

Response distribution by org type

Who's actually carrying the load — and where engagement is heaviest.
Chamber of Commerce
42 answers
28%
City of Nanaimo (Econ Dev)
34 answers
23%
Innovation Island
26 answers
18%
VIU Faculty of Management
17 answers
12%
Community Futures
15 answers
10%
Snuneymuxw Economic Development
13 answers
9%
Layer 2 · Org Profile Store

Your org profile

A blend of self-declared expertise and behaviorally inferred signals from how your team engages with the system. The AI uses this to route questions to you.

Self-declared expertise

What your organization tells the system it can help with.
Business licensing Zoning & land use Economic development Site selection Investor inquiries DCC waivers Brownfield redevelopment

Behaviorally inferred

What the AI has learned from your team's actual answers and engagement patterns.
Workforce housing policy
very high signal
Permitting timelines
high
Indigenous partnerships
moderate
CRA / tax matters
low — usually pass

Engagement summary

Last 30 days.
Routed to you
47
Answered
34
Passed
11
Avg response
2.1h

Routing trust score: 0.87

Your answer rate & response time put you in the top 5 organizations. The engine is increasing your routing weight on workforce housing topics.

Reference

System architecture

Four layers, one feedback loop. Mapped from the discussion paper.

Layer 1 — Question intake Business leaders post questions and queries from across the region Business leader Posts a question Business leader Posts a question Business leader Posts a question Layer 2 — AI routing engine Question classifier Topic, type, urgency Profile matcher Scores against org profiles Suggestion engine Ranked list of responders Org profile store Self-declared + behaviorally inferred expertise, interests, engagement patterns Layer 3 — Ecosystem response Orgs elect to answer or pass — every choice is a learning signal Org answers Signals expertise Org passes Signals low relevance No response Flags a gap learning loop Layer 4 — Community intelligence Sector trend signals · Ecosystem gap alerts · Regional pulse reports