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 Duration 7 hours

Course Outline

Module 1: Manus for Finance Professionals

  • Understanding general AI agents: the cycle of planning, acting, and delivering versus simple Q&A.
  • Chat mode versus agent mode: determining when to use each approach.
  • Understanding credit mechanics, typical task costs, and shared team credit pools.
  • Interface tour: tasks, Projects, files, connectors, Skills, and Automations.
  • Identifying where Manus fits into finance, forensic, and corporate finance workflows, and where it is not suitable.
  • Exercise: Execute a small task in both modes and compare results and credit costs.

Module 2: Briefing, Steering, and Reviewing

  • Drafting actionable briefs: defining goals, inputs, output formats, and constraints.
  • Monitoring agent activity, intervening mid-task, and managing browser or login steps.
  • Output review: verification checks, requesting sources, and criteria for re-running tasks.
  • Exercise: Conduct company background and regulatory research on a target entity.
  • Exercise: Use Wide Research to compare a list of companies based on specific criteria.

Module 3: Working with Financial Data

  • Uploading files: spreadsheets, PDF statements, and exports from finance systems.
  • Cleaning and standardising ledgers; building formulas and summaries in spreadsheet formats.
  • Extracting figures from PDF financial statements into structured tables.
  • Reconciliations and anomaly checks (duplicates, round-number tests, Benford’s law screens).
  • Exercise (Forensic): Flag anomalies in a synthetic transaction ledger and document the methodology.
  • Exercise (Corporate Finance): Build a comparables table from provided statements.

Module 4: Finished Outputs and Repeatable Work

  • Generating memos, slide decks, and interactive dashboards from a single analysis.
  • Projects: Consolidating files, instructions, and context for specific clients or engagements.
  • Skills: Converting successful workflows (e.g., due diligence checklists or valuation templates) into reusable steps.
  • Automations: Setting up scheduled or event-triggered tasks, such as weekly market summaries.
  • Exercise: Package the Module 3 analysis into a memo and slides, then save the method as a Skill.

Module 5: Risk, Governance, and Credit Discipline

  • Data governance: Firm policies, client confidentiality, and regulatory requirements for data input.
  • Provider context: Manus’s 2025–26 ownership changes and the August 2026 data deletion policy, and their implications for data decisions.
  • Output verification: Identifying hallucinated figures, stale sources, and calculation errors; the importance of citing and spot-checking.
  • Audit trails: Saving task histories, exporting outputs, and documenting agent actions.
  • Credit discipline: Sizing tasks appropriately, using Chat mode for simple queries, and preventing runaway tasks.
  • Discussion: Drafting a one-page team usage policy.

Module 6: Capstone and Next Steps

  • Participants build one workflow tailored to their own role.
  • Short group demo with feedback from the trainer and peers.
  • Personal 30-day usage plan: identifying two tasks to migrate to Manus and one Skill to build.
  • Handouts: Prompt patterns, review checklists, and credit guides.

Requirements

  • Basic proficiency with web applications is required; no prior AI knowledge is necessary.
  • Participants must sign in to their own Manus license using a work laptop with Chrome or Edge. As Manus is a cloud-based service, no virtual machines are needed.
  • Please verify your Manus plan and credit balance prior to the course. Ideally, schedule the training early in the billing cycle, as a full day of hands-on work can consume a significant portion of monthly credits.
  • Coordinate with IT to confirm approved connectors (e.g., Gmail, Google Drive, Notion) to ensure demonstrations align with post-course usage capabilities.
  • The trainer will use a separate paid Manus account for preparation and live demonstrations.
  • All exercise data is synthetic and provided by the trainer; participants should not bring confidential client data.
  • Complete the pre-course survey (approx. 10 minutes) by submitting one or two repetitive tasks from your current workflow at least one week in advance.

Audience

  • Finance Associates
  • Forensic Accounting Professionals
  • Corporate Finance Teams

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