Kingston

Kingston workflow OS

Turn recurring finance work into a system.

Choose an operating workflow, prepare its real inputs, and move through a governed AI execution path—from raw evidence to review-ready output.

Built for controlled execution

Inputs → AI tools → human review → decision-ready output

Design a finance workflow in any model

Investment research

Investment Research

Turn a company, sector, or investment question into a structured research briefing.

Intermediate4–6 hours per research cycle
PEPerplexity
→
NONotebookLM
→
CLClaude
→
Final report

Setup

15 minutes

Impact

4–6 hours per research cycle

Outputs

5 ready

Analysts, researchers, asset managersLaunch workbench→

Corporate finance

Corporate Finance Reporting

Turn financial statements into a management-ready presentation.

Beginner2–3 hours per reporting cycle
Financial statements
→
GPGPT
→
Excel analysis
→
Management presentation

Setup

10 minutes

Impact

2–3 hours per reporting cycle

Outputs

4 ready

Corporate finance teams, FP&ALaunch workbench→

FP&A

FP&A Forecasting

Build a forecast and variance analysis from budget and actuals.

Intermediate3–5 hours per forecast cycle
Budget vs. actuals
→
GPGPT
→
CLClaude
→
Variance narrative

Setup

15 minutes

Impact

3–5 hours per forecast cycle

Outputs

4 ready

Accounting

Accounting Close Support

Turn a trial balance into a management report.

Beginner2–4 hours per close cycle
Trial balance
→
GPGPT
→
CLClaude
→
Management report

Setup

10 minutes

Impact

2–4 hours per close cycle

Outputs

3 ready

Audit

Audit Document Review

Review documents and flag exceptions against sample criteria.

Intermediate3–6 hours per review cycle
Documents
→
NONotebookLM
→
CLClaude
→
Exception report

Setup

15 minutes

Impact

3–6 hours per review cycle

Outputs

3 ready

Risk

Risk Review

Stress-test exposure across market scenarios and draft a risk memo.

Advanced4–6 hours per review cycle
Internal data
→
CLClaude
→
SCScenario testing
→
Risk memo

Setup

20 minutes

Impact

4–6 hours per review cycle

Outputs

4 ready

Treasury

Treasury Monitoring

Track cash, liquidity, and exposure with AI-assisted monitoring.

Intermediate2–4 hours per week
Cash data
→
GPGPT
→
CLClaude
→
Liquidity briefing

Setup

10 minutes

Impact

2–4 hours per week

Outputs

3 ready

Treasury teamsLaunch workbench→

Trading research

Trading Research

Monitor markets and summarise research in real time.

Intermediate1–3 hours per day
Live sources
→
PEPerplexity
→
GPGPT
→
Trading brief

Setup

10 minutes

Impact

1–3 hours per day

Outputs

3 ready

Traders, research teamsLaunch workbench→

Private equity

Private Equity Screening

Screen targets and build a first-draft diligence pack.

Advanced1–2 days per deal screen
Target
→
PEPerplexity
→
CLClaude
→
Diligence pack

Setup

30 minutes

Impact

1–2 days per deal screen

Outputs

4 ready

Private equity teamsLaunch workbench→

Venture capital

Venture Capital Evaluation

Evaluate a pitch deck and market with structured AI research.

Intermediate3–5 hours per evaluation
Pitch deck
→
PEPerplexity
→
CLClaude
→
Evaluation memo

Setup

15 minutes

Impact

3–5 hours per evaluation

Outputs

3 ready

Venture capital teamsLaunch workbench→

Management reporting

Management Reporting

Turn raw financials into a board-ready update.

Intermediate2–4 hours per reporting cycle
Raw financials
→
GEGemini
→
GPGPT
→
Board update

Setup

15 minutes

Impact

2–4 hours per reporting cycle

Outputs

4 ready

Corporate finance, CFO teamsLaunch workbench→

Financial modelling

Financial Modelling

Build and stress-test a financial model faster.

Advanced3–6 hours per model build
Assumptions
→
GPGPT
→
CLClaude
→
Model review

Setup

20 minutes

Impact

3–6 hours per model build

Outputs

3 ready

Analysts, corporate financeLaunch workbench→

Student research

Student Research Practice

Learn how leading models handle a real financial research question.

BeginnerA learning workflow, not a time-saving one
Question
→
PEPerplexity
→
NONotebookLM
→
CLClaude
→
Practice write-up

Setup

10 minutes

Impact

A learning workflow, not a time-saving one

Outputs

3 ready

Finance studentsLaunch workbench→

Market intelligence

Market Intelligence Briefing

Turn live sources into a weekly market briefing.

Beginner1–2 hours per week
Live sources
→
PEPerplexity
→
GPGPT
→
Weekly briefing

Setup

10 minutes

Impact

1–2 hours per week

Outputs

4 ready

Research teams, corporate financeLaunch workbench→