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 Duration 7 hours

Course Outline

Module 1: Manus for finance professionals

  • What a general AI agent is: plan, act, deliver, versus answer
  • Chat mode vs agent mode: when to use each
  • How credits work and what a typical task costs; the team's shared credit pool
  • Tour of the current interface: tasks, Projects, files, connectors, Skills, Automations
  • Where Manus fits in a finance, forensic or corporate finance workflow, and where it does not
  • Exercise: run one small task in each mode and compare the result and the credit cost

Module 2: Briefing, steering and reviewing

  • Writing a brief Manus can act on: goal, inputs, output format, constraints
  • Watching the agent work, intervening mid-task, handling browser and login steps
  • Reviewing the output: what to check, how to ask for sources, when to re-run
  • Exercise: company background and regulatory research on a target company
  • Exercise: Wide Research to compare a list of companies on the same criteria

Module 3: Working with financial data

  • Uploading files: spreadsheets, PDF statements, exports from finance systems
  • Cleaning and standardizing a ledger; building formulas and summaries in Excel-style output
  • Extracting figures from PDF financial statements into structured tables
  • Reconciliations and anomaly checks (duplicates, round-number tests, Benford's-law screen)
  • Exercise (forensic): flag anomalies in a synthetic transaction ledger and document the method
  • Exercise (corporate finance): build a comparables table from supplied statements

Module 4: Finished outputs and repeatable work

  • Producing a memo, a slide deck and an interactive dashboard from the same analysis
  • Projects: keeping files, instructions and context together for a client or engagement
  • Skills: turning a successful workflow (e.g. a due-diligence checklist or valuation template) into a reusable step
  • Automations: scheduled and event-triggered tasks, such as a weekly market summary
  • Exercise: package the Module 3 analysis as a memo and slides, then save the method as a Skill

Module 5: Risk, governance and credit discipline

  • What data may and may not go into Manus: the firm's policy, client confidentiality, regulatory requirements
  • Provider context: Manus's 2025–26 ownership changes and the August 2026 data deletion, and why that matters for data decisions
  • Verifying outputs: hallucinated figures, stale sources, calculation errors; always cite and spot-check
  • Audit trail: saving task histories, exporting outputs, documenting what the agent did
  • Credit discipline: sizing tasks, using Chat mode for simple questions, avoiding runaway tasks
  • Discussion: a one-page team usage policy

Module 6: Capstone and next steps

  • Each delegate builds one workflow from their own job
  • Short demo to the group with feedback from the trainer and peers
  • Personal 30-day usage plan: two tasks to move to Manus, one Skill to build
  • Handout: prompt patterns, review checklist, credit guide

Requirements

  • Basic familiarity with web applications. No prior AI knowledge required
  • Each delegate signs in to their own Manus license on their work laptop using Chrome or Edge. Manus is a cloud service; no virtual machine is required.
  • Please confirm the Manus plan and credit balance before the course and, if possible, schedule the course early in the billing cycle. A full day of hands-on work can use a noticeable share of the team's monthly credits.
  • Please confirm with IT which connectors are approved (for example Gmail, Google Drive, Notion) so demonstrations match what delegates can use afterwards.
  • The trainer uses a separate paid Manus account for preparation and demonstrations.
  • All exercise data is synthetic and supplied by the trainer; delegates should not bring client data.
  • Pre-course survey (about 10 minutes): one or two repetitive tasks from their current work, sent at least one week before the course.

Audience

  • Associates in Finance
  • Forensic Accounting
  • Corporate Finance

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