Resource Optimization

The best person for the job was available. You just didn't know it.

Someone checked three calendars, sent four emails, and made a judgment call based on whoever came to mind first. Meanwhile, the person with the perfect skill match and an open schedule sat two rows away. Unasked.

You run a consulting firm. Your product is people — their expertise, their availability, their fit with a client's specific needs. Every engagement requires matching the right consultant to the right project, and that matching happens in someone's head. They check a spreadsheet. They check a calendar. They send a Slack message. They make a call. They assign someone who is available — not necessarily someone who is optimal.

The cost of a suboptimal match is invisible until it isn't. A consultant without the right domain experience takes longer to deliver. A consultant who's overbooked produces lower-quality work. A consultant who just finished a similar engagement could have brought compounding insight — but no one knew, because that history lives in a system no one checks during scheduling.

You have tried shared calendars. You have tried capacity trackers. You have tried weekly staffing meetings where six people stare at a spreadsheet and negotiate. The problem isn't visibility — it's computation. The number of variables that determine an optimal match (expertise, availability, geography, client history, workload balance, development goals) exceeds what any human can evaluate in real time for more than a handful of people.

Every week, your best people are under-utilized while your available people are over-assigned. Revenue walks out the door when an engagement goes to the wrong consultant. And no one notices, because the decision was “good enough” — and good enough is the enemy of everything you're trying to build.

What changes

Six capabilities. One scoring engine. Sub-second routing.

4-dimensional scoring engine

Every potential match scored across expertise fit, calendar availability, geographic proximity, and client relationship history. The best assignment is computed, not guessed.

Real-time calendar intelligence

Live sync with every consultant's calendar. Not just open/busy — the system understands travel days, buffer requirements, back-to-back constraints, and timezone implications.

Geography-aware routing

Distance calculations, travel time estimates, regional expertise mapping. A consultant in Dallas shouldn't fly to Seattle when someone equally qualified is in Portland.

Client relationship memory

Who has worked with this client before? What was the outcome? Is there a chemistry match or a known friction point? The system remembers what spreadsheets forget.

Workload balancing

Automatic detection of over-assignment and under-utilization. The system distributes work across the team based on capacity, not just availability — preventing burnout before it starts.

Sub-second recommendations

Type a client name. See the optimal match instantly. 101 API endpoints, 32-table schema, and a scoring algorithm that evaluates every permutation before you finish reading the results.

Core System

Every variable, every person, every time.

When a new engagement comes in, the routing engine evaluates every consultant against four scoring dimensions simultaneously. Expertise is weighted by recency and depth. Availability accounts for travel and buffer. Geography minimizes logistics. Client history surfaces relationships — good and bad. The result is a ranked list of candidates with transparent scoring, not a black box recommendation.

ROUTING RECOMMENDATION

Engagement: Northeast Region — Q3 Advisory

Top Candidates
M. Torres — Score: 94 (Expertise: 98, Availability: 92, Geography: 88, History: 97)
K. Chen — Score: 87 (Expertise: 91, Availability: 85, Geography: 90, History: 82)
R. Okonkwo — Score: 81 (Expertise: 85, Availability: 78, Geography: 92, History: 69)
Flags
K. Chen has 3 consecutive weeks assigned — workload threshold approaching

TEAM CAPACITY — WEEK OF APR 7

Utilization
Team average: 74%  |  Target: 80%  |  Range: 52%–96%
Availability
8 consultants fully available
12 consultants partially available
3 consultants at capacity — flagged
Conflicts
2 double-bookings detected — auto-escalated to ops

Real-Time

See your entire team. Right now.

The capacity dashboard shows every consultant's current state — assigned, available, traveling, on leave — updated in real time via calendar sync and project tracking. When an assignment changes, every connected user sees the update instantly via WebSocket. No refresh. No stale data. No “I thought they were free” conversations.

Compound Value

The system gets smarter with every engagement.

Every completed engagement feeds back into the scoring model. Client satisfaction signals, delivery timelines, expertise validation — the routing engine learns which matches produce the best outcomes and adjusts its weighting accordingly. After six months, the system knows your team's strengths better than any staffing meeting ever could.

PATTERN ANALYSIS — Q1 2026

Insight
Engagements with expertise score >90 completed 23% faster than average
Trend
Client re-engagement rate: 84% when history score >85 vs 61% when <70
Recommendation
Increase history weighting for renewal clients from 0.20 → 0.25

101

API endpoints

32

Database tables

<1s

Routing computation time

Stop guessing who's available.
Start knowing.

Your team's expertise is your product. Every suboptimal match costs you revenue, quality, and the compounding value of putting the right person in the right seat. The routing engine doesn't replace judgment — it eliminates the guesswork that precedes it.

Start a project

30-minute discovery call · No pitch deck