Illustrative. Your analysis runs on your own data.
A consultant will not tell you which of their conclusions is thin. The engagement is priced on confidence. A system has no such incentive.
AI exposure scored by role. The reskilling roadmap that follows from it.
Kirkpatrick-Phillips applied end to end. Every dollar traced to an outcome.
Ishikawa, 5-Why and Pareto run against your own data, not a workshop whiteboard.
Gap to curriculum, with the curriculum actually specified.
Upload, analyse, decide. Sector benchmarks built in.
Current against required, sequenced into a prioritised development path.
Multi-dimensional scoring that names what is broken and where to start.
Lean analysis, waste identification, automation candidates ranked.
Responses turned into predictions. Who is at risk, and what is actually driving it.
Competing bids scored on equal terms, with the fine print surfaced.
ISO, labour law and industry frameworks resolved into a gap matrix.
Meeting quality scored, decision rights mapped, actions tracked to closure.
Design thinking, causal loops and affinity mapping built around your actual challenge.
ADDIE or SAM, your rules. Full eLearning and facilitated decks built to your curriculum.
Live-cited synthesis. Named studies, source-indexed — evidence, not internal opinion.
Org-wide competency gaps against benchmarks, with the path to green per role.
Five engines are free to run. Pricing starts at $9 per analysis, or $49 a month with no auto-renewal. Full module list, sample outputs and pricing at treeng.ai.
Comparable external engagements in this category are commonly quoted in the $50,000 to $200,000 range. That is a market observation about typical consulting scope, not a figure from any SSUNDAR engagement, and your own alternatives will vary.