Identify where automation remains subject to human review.
Compare automation candidates using control risk and bounded ROI assumptions.
Three places to start
Runnable synthetic work sample
3PL Cost Leakage Digital Twin
Task: Turn synthetic invoice and rate tables into a row-linked exception report.
Contribution: Project direction by Kamal; AI-assisted implementation and verification. The original case and its separate audit-priority scenario are retained.
Inputs → processing → output: Invoice + dated-rate CSVs → strict validation, unique-rate selection and fixed-point arithmetic → linked discrepancies, review states and JSON/display-CSV reports.
Technology: React · JavaScript ES modules · BigInt fixed-point arithmetic · CSV validation · Node test runner
What the reviewer can do: Load the fixture or two synthetic CSV files, change an amount, inspect excluded rows and export the report.
Limits: Bounded USD flat-rate comparison. No live logistics connection, real invoices, audited overcharges, recovered savings, client adoption or commercial freight-audit capability is claimed.
Task: Make missing intake evidence and human-review boundaries explicit before routing a request.
Contribution: Project direction by Kamal; AI-assisted implementation. The editable extension translates review questions into a transparent, bounded intake workflow.
Technology: React · Pure JavaScript evaluator · JSON schema + fixtures · In-memory state
What the reviewer can do: Edit the synthetic request, remove a required field, change required-field policy and inspect the resulting clarification state.
Limits: Author-configured policy, not a practitioner-validated top three. No deployed LLM, autonomous decision, backend ticketing service, client use or measured resolution-time gain.
Provisional snapshot — pending final Iteration 15 replacement. Snapshot dated 2026-09-02. Awaiting independent audit; not the latest live analytical work or an independently certified release.
Media, platforms & capital allocation
A source-linked decision system connecting company histories, the current media landscape, transaction economics, streaming unit economics and governed capital allocation.
Contribution: Designed and governed by Kamal Babu Gokanakonda. AI-assisted research, modelling, coding, drafting and quality assurance under that direction.
Source-linked research · Scenario modeling · Decision and reversal traces
Overview, models, charts, evidence records, data views and the selected snapshot downloads.
Provisional snapshot — pending final Iteration 15 replacement. Independent release audit remains pending; scenario assumptions are not forecasts.
Email me with the role, the team, and the problem you want to evaluate. I can explain how I framed the work, walk through its evidence and assumptions, and discuss a practical assessment.