Process Automation

Mapping Process
Law Process
Regulated Gambling Process
KYC Process
AML Process
Energy and Util Process

THE COMPLETE FLOW

1. Start With Commercial Reality: Where Revenue Is Blocked & Where Costs Explode

  • Identify the revenue-critical processes (KYC/AML onboarding, matter inception, account opening, turbine commissioning, gambling player activation).

  • Identify the cost-critical ones (rework, duplicated checks, manual reporting, legacy tasks).

  • Prioritise by revenue dependency, cost drain, and risk exposure.

2. Build a Process Intelligence Inventory

  • Catalogue every process with triggers, inputs, systems, effort, volume, error rate, outputs, consumers.

  • Treat the process as a system, not as a person’s job.

  • Rank by impact → focus only on the top tier.

3. Map the “As-Is” Process with Precision

  • Capture the true data flow, system interactions, approvals, rework loops, and waiting times.

  • Annotate each step with time, risk, regulatory impact, and dependency.

  • Ignore opinions. Observe the system behaviour.

4. Apply the “Minimal Value Test” to the Output

Ask for each workflow:

  • Who consumes the final output?

  • What decision depends on it?

  • What if the output was removed or reduced?

  • Is it genuinely a regulatory requirement?
    Categorise each into eliminate / reduce / simplify / retain.

5. Redesign the “To-Be” Minimal Process

  • Strip out steps with no revenue, risk, or client value.

  • Standardise data collection once at the start.

  • Define explicit business rules and exception pathways.

  • Specify KPIs for the redesigned process.

6. Select the Correct Automation Pattern

  • RPA for legacy systems with poor APIs (Automation Anywhere, Blue Prism).

  • Workflow for structured, API-based systems (n8n, Make, Power Automate).

  • AI for document-heavy, pattern-based work (KYC packs, turbine inspection PDFs, law firm CDD).

  • Combine patterns when necessary—but only after simplification.

7. Build, Test, and Deploy Incrementally

  • Start with the “happy path” MVP.

  • Add logs, monitoring, exception routing.

  • Test with real users.

  • Roll out gradually.

8. Measure Value & Institutionalise Improvement

  • Compare before/after metrics (time-to-onboard, rework rate, time-to-bill, AML false positives, turbine activation time).

  • Create a repeatable automation pipeline.

  • Review quarterly to eliminate, simplify, or scale further.

Detailed phase plan

Commercial clarity before operational curiosity.

0.1 Identify revenue concentration points

Examples:

  • Banking: KYC onboarding → revenue cannot begin until client is approved.
  • Law Firms: matter inception → billing cannot start.
  • Gambling: player verification → no deposits allowed.
  • Wind Farms: turbine commissioning → no energy sales to grid.
  • Energy: regulatory approval → no production permitted.
  • SaaS: subscription activation → ARR recognition depends on it.

Ruthlessness: If a step delays revenue with no regulatory justification, mark it for removal.

0.2 Identify cost concentration points

Examples:

  • Manual KYC re-checks across multiple systems (banking, gambling).
  • Repeated legal CDD document collection.
  • Wind farm technical verification loops.
  • Duplicate CRM/finance data entry.
  • Manual compliance reporting (GDPR, AML, FCA/FRC, environmental).
  • Legacy ERP interactions requiring human intervention.

Ruthlessness: Any step repeated by more than one team → redundant until proven essential.

1.1 Inventory schema (generic; works for all industries)

  • Name
  • Trigger
  • Business outcome
  • Inputs (data/documents)
  • Systems (CRM, AML tool, ERP, SCADA, gambling KYC platforms)
  • Frequency & volume
  • Roles (not people)
  • Average time
  • Error points
  • Waiting time
  • Regulatory exposure (AML, KYC, GDPR, SOX, OFGEM, gambling regulation)
  • Output consumers
  • Annual cost

1.2 Rank by commercial impact

Examples:

  • Banking KYC/AML
  • Legal conflict checks
  • Gambling affordability assessments
  • Wind turbine readiness validation
  • Energy asset permitting workflows
  • SaaS customer activation & billing

Ruthlessness: If the output has unclear value, deprioritise or eliminate.

2.1 Create end-to-end flows

  • Banking: onboarding → AML screening → risk scoring → approval → core banking.
  • Law: conflict search → beneficial ownership → engagement letter → matter code.
  • Gambling: ID verification → affordability → AML → account activation.
  • Wind Farms: commissioning tests → SCADA integration → regulatory pack → activation.
  • Energy: permit-to-work → inspection → safety sign-off → system update.

2.2 Annotate every step

  • Minutes/hours
  • Errors
  • Dependencies
  • Human judgement?
  • Regulatory check?
  • Waiting/handoffs
  • Document needs
  • Rework loops

Ruthlessness: Every annotation is a simplification opportunity.

3.1 Identify consumers

  • AML risk score → Compliance Officer
  • Affordability result → Responsible Gambling Team
  • Environmental pack → Regulatory Inspector
  • Matter pack → Finance + Risk
  • Turbine validation → Grid operator
  • CRM onboarding → Sales + CS

3.2 Test necessity

  • Does CDD require six documents or two?
  • Weekly vs monthly bank reporting?
  • Duplicate SAP entries for turbines?
  • EDDs requiring both PDF and screenshots?

3.3 Categorise

  • Eliminate
  • Reduce
  • Simplify
  • Retain (regulatory/revenue-critical)

Ruthlessness: Outputs not enabling revenue, compliance, or safety must be removed.

4.1 Remove non-value activities

  • Banking: remove repeated ID checks.
  • Legal: remove duplicate conflict searches.
  • Gambling: remove repeated affordability requests.
  • Wind farms: remove repeated inspection uploads.
  • Energy: remove manual duplicate compliance entries.

4.2 Standardise inputs

  • One KYC form per client type.
  • One onboarding pack for legal matters.
  • One commissioning template per turbine class.
  • One affordability documentation structure.

4.3 Define business rules

  • AML risk tiers
  • EDD thresholds
  • Turbine pass/fail criteria
  • Legal conflict escalation
  • Responsible gambling triggers

4.4 Define exceptions

  • Fraud flags
  • Sanctions hits
  • Safety failures
  • Missing data
  • High-risk outcomes
  • Regulatory blocks

4.5 KPIs

  • Time-to-onboard
  • Time-to-bill
  • Time-to-activate (Energy assets)
  • Zero rework rate
  • AML false-positive rate
  • Affordability review speed

RPA-first (Automation Anywhere, Blue Prism)

  • Banking legacy core updates
  • Legacy DMS uploads (Legal)
  • Energy ERP forms
  • Gambling regulatory portal submissions
  • SCADA interface workarounds

Workflow-first (n8n, Make, Power Automate)

  • KYC API integrations
  • CRM→AML sync
  • Automated affordability decisioning
  • Triggered onboarding sequences
  • Risk scoring automation
  • Turbine activation pipelines
  • Compliance document bundling

AI-first

  • KYC document classification
  • Source-of-funds analysis
  • Beneficial ownership extraction
  • Turbine inspection PDF extraction
  • Automated legal summaries
  • Fraud pattern detection
  • AML narrative generation

Ruthlessness: Never automate until simplified.

Services KYC / AML / Sanctions • Automation & RPA • Process Engineering • Regulatory Alignment • Governance & Controls • Operational Model Redesign

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