AI-Powered Resource Management
The allocation tool
built for delivery leaders.

Every resourcing tool on the market tells you who's available. None of them tell you who's right for the work — or what to do when the plan breaks. Redline does both.

7 differentiators not in the market
4-view allocation system
Claude Sonnet 4 throughout

The market tells you who's free.
Not who's right.

Epicflow, Float, Resource Guru, Kantata — every enterprise PPM tool does the same thing: heatmaps, drag-and-drop, AI reallocation suggestions. They match by skill availability. None of them ask whether someone's fast-execution or considered/strategic — and whether that matters for this particular piece of work. And when a crisis hits, they show you the math. They don't show you the thinking.

◇ What exists
Generic allocation tools that show capacity. Sales-demo-gated B2B SaaS. A "book a call" before you see anything. No judgment layer. No portable output. Nothing that says why a reallocation makes sense.
✦ What Redline does
Shows the reasoning behind allocation decisions — by name, by mode, by project type. Generates a model built for your context. Lets you stress-test it against real crisis types. And gives you something to take away.

Two parts. One outcome.

Part 1 earns your trust. Part 2 gives you a model you can use. Neither requires a demo call, a trial signup, or anything beyond 90 seconds of your time before you get something real.

Part 1 — Judgment Showcase
Four real crises. How I'd call each one.
A pre-built consulting team hits four disruptions — emergency leave, a leadership pull, scope surge, two P1s simultaneously. You see the situation, optionally guess what you'd do, then see the reasoning: who moves, why that person specifically (mode + skills), what it costs the overflow, and what I'd watch for in the next 48 hours.
Part 2 — Your Model
Seven questions. A model built for your team.
Domain, team size, project mix, billable target, weekend lever, concurrent projects, export destination. The rule engine computes your thresholds — not a generic 80% rule, a number derived from your actual Fixed-Cost/T&M/Retainer split. Then applies a crisis to your own model so you can see if it holds.

Person-first. Day-granular.
Every cell editable.

The default view is person-centric, not project-centric. Every day cell shows what someone is actually on, in hours, color-coded by project type. Multi-project days stack segments. Click any cell to edit inline — project dropdown, hours, stretch flag. Status updates live.

Sample allocation grid — consulting team, this week
Person
Mon
Tue
Wed
Thu
Fri
Util
Status
Ananya Rao
considered
Atlas 4h
Nova 4h
Atlas 8h
Nova 8h
Atlas 4h
Helios 4h
Atlas 8h
88%
OK
Karthik Iyer
fast
Nova 8h
Nova 8h
Nova 8h
Nova 8h
Nova 8h
100%
OVER
Kavya Krishnan
considered
Bench
Atlas 8h
Atlas 8h
Leave
Leave
50%
BENCH

What the market doesn't have.

Each one is tangible — something a visitor can point at, not a positioning claim.

The Differentiator
01 · Mode-Based Routing
Fast vs considered — a second axis the market doesn't have
Every tool matches by skill availability. Redline adds a second axis: fast-execution people handle well-scoped, time-sensitive tasks; considered/strategic people handle ambiguous, high-stakes, client-facing situations. The mode chip sits on every person in every view. When a crisis hits, the reasoning explicitly references mode — "I wouldn't move the fastest available person onto this. I'd move the most considered one, because the risk here isn't speed."
02 · Billable-Aware Thresholds
Not the generic 80% rule
Your ceiling is computed from your project mix (Fixed-Cost × 75% buffer, T&M × 90%, Retainer × 85%) weighted by your actual split — then your billable target acts as a binding constraint if it's lower. The reasoning is shown. Every number is editable at org level and per person.
03 · Skill Coverage Matrix
Overflow paths with real cost
For every skill your team holds: primary holder, overflow person(s), and the headroom cost to each — "14% headroom available" or "No headroom — already at ceiling." Single points of failure are flagged red before a crisis surfaces them.
04 · Portable Output
Sheets, Notion, Airtable, or plain text
One schema, four serializations. The model you build is yours to take away. No platform lock-in, no "stay in our ecosystem." Copy and paste into whatever tool your team already lives in.
05 · Stress-Test Loop
Apply a crisis to your own model
After building your model, apply one of four crisis types to it — emergency leave, leadership pull, scope surge, dual P1. Claude reasons through it using your actual named people and projects, not a generic hypothetical.
06 · Mode Alignment Metric
A Trends metric nobody else tracks
The Trends tab shows what % of "fast" people's time goes to billable work vs "considered" people's. If fast people are running at 95% and considered people have capacity — or vice versa — the metric surfaces it before it becomes a quality problem.
07 · AI Reallocation Reasoning
Names the person. Explains the tradeoff.
When someone is OVER, the AI suggestion names who moves, to where, how many hours, why that person (referencing mode and skills), and what it costs the person receiving the work. Not "rebalance recommended." Actual reasoning.

Single file. Real infrastructure.

Single HTML File
Vanilla JS, no build step, deployed on Netlify. Same pattern as the rest of the NetBramha tool family.
Cloudflare Worker
Three AI routes — narrative, reallocation suggester, crisis reasoning. API keys never in the browser. Rate-limited per user.
Rule Engine + Claude
Numbers are deterministic (same inputs → same thresholds, always). Claude generates narrative only — the judgment layer, not the math.
"Know your redline.
Plan around it."
Redline · Built from 14 years of resourcing 250+ people across EY, BCG, NetBramha