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AI & Innovation

AI & Innovation

Agentic Process Automation (APA)

APA uses AI agents that can plan, decide, and act across your systems—not just click screens—so work flows end-to-end with fewer handoffs and far fewer exceptions. Think of agents as "non-human resources" that you onboard, govern, and measure like teammates, not tools.

Envision

Envision

The Business Problems Agentic Process Automation Fixes

The quality of consumer AI agents remain inconsistent, while enterprises find success by focusing on targeted, high-value use cases with strong governance.

Alternative solutions, like RPA, are temporary, because they break on unstructured documents, changing UIs, and edge cases. AI Agents pairs reasoning with perception (OCR/NLP/tools) and choose alternative paths when context shifts.

Workflows that are full of exceptions

Single bots don't coordinate across ERPs, CRMs, and data lakes. Agentic orchestration lets multiple agents collaborate, escalate to humans, and complete multi-step outcomes.

Isolated Automations

Agents watch events (orders, tickets, alarms) and trigger compliant actions immediately without manual triage.

Latency Between Insight and Action

Agentic Process Automation forces better data and governance upfront, so organizations scale beyond proofs-of-concept to higher enterprise value.

Human Talent Optimization

Long-term

Long-term

Long-term

Building Sustainable APA

Economic Sustainability

Tie APA to measurable throughput, quality, and cost KPIs (cycle time, first-pass yield, rework, backlog). McKinsey sizes AI's productivity potential in the trillions—but only when scaled with operating discipline.

Environmental Sustainability

Digital optimisation can cut emissions in heavy-emitting sectors; but AI itself drives datacentre power demand, so design for efficiency (right-sizing, caching, serverless, renewables). Use FinOps + greenOps as non-negotiables.

Grid-aware Strategy

AI is becoming both a load and a lever—IEA expects datacentre electricity consumption to roughly double by 2030, while AI optimises grids and renewables integration.

Proof ROI

Start with Focused Pilots

~70% of digital innovation projects never scale to full deployments. The following guidelines help to avoid common pitfalls.

Select High-Impact, Low-Risk Use Cases

Look for processes that are relatively self-contained, rule-based, and have clear success metrics. Good candidates are often in back-office or support functions (IT helpdesk, invoice processing, basic customer FAQs).

Define Pilot Scope and Guardrails

Clearly define what the AI agent will and won't do. Establish human-in-the-loop checkpoints and success criteria: "Pilot success = agent resolves 50%+ of tickets with >90% satisfaction and no security incidents."

Form Interdisciplinary Pilot Teams

Include process owners, AI developers, data engineers, and end-user representatives. Having frontline staff collaborate helps incorporate real-world knowledge and gain buy-in.

Monitor, Iterate, and Celebrate Wins

Run the pilot for 4-8 weeks. Monitor performance closely, gather feedback, and make improvements. When a pilot hits its goals, communicate it: "Our new AI agent resolved 1,000 IT tickets in its first month, saving 500 hours of employee downtime."

Proof ROI

Start with Focused Pilots

~70% of digital innovation projects never scale to full deployments. The following guidelines help to avoid common pitfalls.

Select High-Impact, Low-Risk Use Cases

Look for processes that are relatively self-contained, rule-based, and have clear success metrics. Good candidates are often in back-office or support functions (IT helpdesk, invoice processing, basic customer FAQs).

Define Pilot Scope and Guardrails

Clearly define what the AI agent will and won't do. Establish human-in-the-loop checkpoints and success criteria: "Pilot success = agent resolves 50%+ of tickets with >90% satisfaction and no security incidents."

Form Interdisciplinary Pilot Teams

Include process owners, AI developers, data engineers, and end-user representatives. Having frontline staff collaborate helps incorporate real-world knowledge and gain buy-in.

Monitor, Iterate, and Celebrate Wins

Run the pilot for 4-8 weeks. Monitor performance closely, gather feedback, and make improvements. When a pilot hits its goals, communicate it: "Our new AI agent resolved 1,000 IT tickets in its first month, saving 500 hours of employee downtime."

Proof ROI

Start with Focused Pilots

~70% of digital innovation projects never scale to full deployments. The following guidelines help to avoid common pitfalls.

Select High-Impact, Low-Risk Use Cases

Look for processes that are relatively self-contained, rule-based, and have clear success metrics. Good candidates are often in back-office or support functions (IT helpdesk, invoice processing, basic customer FAQs).

Define Pilot Scope and Guardrails

Clearly define what the AI agent will and won't do. Establish human-in-the-loop checkpoints and success criteria: "Pilot success = agent resolves 50%+ of tickets with >90% satisfaction and no security incidents."

Form Interdisciplinary Pilot Teams

Include process owners, AI developers, data engineers, and end-user representatives. Having frontline staff collaborate helps incorporate real-world knowledge and gain buy-in.

Monitor, Iterate, and Celebrate Wins

Run the pilot for 4-8 weeks. Monitor performance closely, gather feedback, and make improvements. When a pilot hits its goals, communicate it: "Our new AI agent resolved 1,000 IT tickets in its first month, saving 500 hours of employee downtime."

Control

Control

Control

Forming Good Assumptions for High ROI

The following metrics will support a strong business case.

Volumes & Variability: transactions/day, peak-to-mean ratio, exception rate (%)

Explore our prices and see why over 100 Framer creators choose Frameblox to build their sites quickly.

Explore our prices and see why over 100 Framer creators choose Frameblox to build their sites quickly.

Data readiness: % structured vs unstructured, lineage known (Y/N), PII/PHI/PCI flags

Explore our prices and see why over 100 Framer creators choose Frameblox to build their sites quickly.

Explore our prices and see why over 100 Framer creators choose Frameblox to build their sites quickly.

Manual Effort: minutes/task, touches/case, rework %, overtime patterns

Explore our prices and see why over 100 Framer creators choose Frameblox to build their sites quickly.

Explore our prices and see why over 100 Framer creators choose Frameblox to build their sites quickly.

Integration scope: core apps in-scope (ERP/CRM/MES/EMR), # of APIs, RPA dependencies

Explore our prices and see why over 100 Framer creators choose Frameblox to build their sites quickly.

Explore our prices and see why over 100 Framer creators choose Frameblox to build their sites quickly.

Compliance envelope: which rules bind the process (EU AI Act, HIPAA, PCI, SR 11-7, ISO 42001)

Explore our prices and see why over 100 Framer creators choose Frameblox to build their sites quickly.

Explore our prices and see why over 100 Framer creators choose Frameblox to build their sites quickly.

Quality & Risk: FPY, defects ppm, audit findings, control break frequency

Explore our prices and see why over 100 Framer creators choose Frameblox to build their sites quickly.

Explore our prices and see why over 100 Framer creators choose Frameblox to build their sites quickly.

Quick sizing heuristic: ROI often appears when (exception rate × manual minutes × volume) is high and decision latency costs are tangible (stockouts, write-offs, chargebacks). Validate with an iterative data pull and a shadow-run of the agent on historical cases.

Explore our prices and see why over 100 Framer creators choose Frameblox to build their sites quickly.

Explore our prices and see why over 100 Framer creators choose Frameblox to build their sites quickly.

Comply

Comply

Comply

Agentic Compliance: Your Safety Rails at Scale

Adopt a layered standard and platform approach.

Management System

Adopt ISO/IEC 42001 (AIMS) for cross-organizational roles, controls, and improvements.

Risk Framework

Use NIST AI RMF 1.0 for mapping, measuring, and mitigating AI risk.

Regulatory Clock

Comply with the EU AI Act, which classifies AI systems based on potential harm they pose to health, safety, and fundamental rights.

Policy-as-code Essentials for APA

  • Data minimization + masking by purpose.

  • Tiered risk classes for agents (e.g., read-only, propose-then-act, fully autonomous).

  • Human-in-the-loop thresholds and dual-control for money/health/safety.

  • Immutable logs + model/agent versioning.

  • Red-teaming and adversarial testing before promotion to autonomy.

Finance-specific add-ons: SR 11-7 model lifecycle controls and PCI DSS 4.0 payment scope reduction and monitoring

Realize

Integrating APA Strategically into the Portfolio

01

Map to Strategy & Controls

Tie each APA initiative to a strategic goal (revenue, cost, compliance, visibility) and to its governing control set (ISO 42001 + NIST RMF + sector rules).

02

Design for Orchestration

Plan for multi-agent workflows (handoffs, conflict resolution, escalation paths). Start with bounded agents, then expand via an "agent registry" and standardised tools.

03

Budget to Value

Use staged gates—Proof of Value → Limited Autonomy → Scale—with live OKRs (cycle time, OEE/NPS, CO₂/unit, audit findings).

04

Operate for Sustainability

Run FinOps/GreenOps reviews quarterly; align with IEA projections and local grid constraints to avoid hidden energy costs.

Realize

Integrating APA Strategically into the Portfolio

01

Map to Strategy & Controls

Tie each APA initiative to a strategic goal (revenue, cost, compliance, visibility) and to its governing control set (ISO 42001 + NIST RMF + sector rules).

02

Design for Orchestration

Plan for multi-agent workflows (handoffs, conflict resolution, escalation paths). Start with bounded agents, then expand via an "agent registry" and standardised tools.

03

Budget to Value

Use staged gates—Proof of Value → Limited Autonomy → Scale—with live OKRs (cycle time, OEE/NPS, CO₂/unit, audit findings).

04

Operate for Sustainability

Run FinOps/GreenOps reviews quarterly; align with IEA projections and local grid constraints to avoid hidden energy costs.

Realize

Integrating APA Strategically into the Portfolio

01

Map to Strategy & Controls

Tie each APA initiative to a strategic goal (revenue, cost, compliance, visibility) and to its governing control set (ISO 42001 + NIST RMF + sector rules).

02

Design for Orchestration

Plan for multi-agent workflows (handoffs, conflict resolution, escalation paths). Start with bounded agents, then expand via an "agent registry" and standardised tools.

03

Budget to Value

Use staged gates—Proof of Value → Limited Autonomy → Scale—with live OKRs (cycle time, OEE/NPS, CO₂/unit, audit findings).

04

Operate for Sustainability

Run FinOps/GreenOps reviews quarterly; align with IEA projections and local grid constraints to avoid hidden energy costs.

Strategize

What Should I Ask Before We Green-light APA?

Critical questions to ensure your APA initiative succeeds

"Where are 80% of our exceptions coming from today, and what's the cost per exception?"
"Which regulations bind this process—AI Act, HIPAA, PCI, SR 11-7—and are our controls testable?"
"Do we have authoritative data (with lineage) for the agent to make defensible decisions?"
"What is the human-in-the-loop policy and where are our autonomy ceilings?"
"What's the breakeven volume where APA beats RPA + manual review?" (Answer with your real cycle/exception data.)

Strategize

What Should I Ask Before We Green-light APA?

Critical questions to ensure your APA initiative succeeds

"Where are 80% of our exceptions coming from today, and what's the cost per exception?"
"Which regulations bind this process—AI Act, HIPAA, PCI, SR 11-7—and are our controls testable?"
"Do we have authoritative data (with lineage) for the agent to make defensible decisions?"
"What is the human-in-the-loop policy and where are our autonomy ceilings?"
"What's the breakeven volume where APA beats RPA + manual review?" (Answer with your real cycle/exception data.)

Strategize

What Should I Ask Before We Green-light APA?

Critical questions to ensure your APA initiative succeeds

"Where are 80% of our exceptions coming from today, and what's the cost per exception?"
"Which regulations bind this process—AI Act, HIPAA, PCI, SR 11-7—and are our controls testable?"
"Do we have authoritative data (with lineage) for the agent to make defensible decisions?"
"What is the human-in-the-loop policy and where are our autonomy ceilings?"
"What's the breakeven volume where APA beats RPA + manual review?" (Answer with your real cycle/exception data.)

Examples

Quick Starter Assumptions for Your Business Case

Manufacturing

Profile: 200–2,000 FTE ops; cost reduction/OTD
Baseline metrics: OEE, scrap %, changeover time
Target: +10–11% OEE and faster recovery from disturbances

Utility

Profile: 1–10M meters; resilience/compliance
Baseline metrics: feeder overload frequency, SAIDI/SAIFI, DER curtailment losses
Target: congestion alerts + agentic re-dispatch

Hospital System

Profile: >$1B revenue; working-capital
Baseline metrics: denials %, days in A/R, resubmission rate
Target: posting automation with HIPAA controls

P&C Insurer

Profile: loss ratio/NPS focus
Baseline metrics: claim cycle time, reopen rate, leakage
Target: 20–50% cycle acceleration with auditable actions

Examples

Quick Starter Assumptions for Your Business Case

Manufacturing

Profile: 200–2,000 FTE ops; cost reduction/OTD
Baseline metrics: OEE, scrap %, changeover time
Target: +10–11% OEE and faster recovery from disturbances

Utility

Profile: 1–10M meters; resilience/compliance
Baseline metrics: feeder overload frequency, SAIDI/SAIFI, DER curtailment losses
Target: congestion alerts + agentic re-dispatch

Hospital System

Profile: >$1B revenue; working-capital
Baseline metrics: denials %, days in A/R, resubmission rate
Target: posting automation with HIPAA controls

P&C Insurer

Profile: loss ratio/NPS focus
Baseline metrics: claim cycle time, reopen rate, leakage
Target: 20–50% cycle acceleration with auditable actions

Examples

Quick Starter Assumptions for Your Business Case

Manufacturing

Profile: 200–2,000 FTE ops; cost reduction/OTD
Baseline metrics: OEE, scrap %, changeover time
Target: +10–11% OEE and faster recovery from disturbances

Utility

Profile: 1–10M meters; resilience/compliance
Baseline metrics: feeder overload frequency, SAIDI/SAIFI, DER curtailment losses
Target: congestion alerts + agentic re-dispatch

Hospital System

Profile: >$1B revenue; working-capital
Baseline metrics: denials %, days in A/R, resubmission rate
Target: posting automation with HIPAA controls

P&C Insurer

Profile: loss ratio/NPS focus
Baseline metrics: claim cycle time, reopen rate, leakage
Target: 20–50% cycle acceleration with auditable actions

Bottom Line

APA is a new operating model.

Governed and orchestrated agents are closing the gap between insight and action. It's time to think about agents like teammates with job descriptions, controls, and KPIs. Success starts small, iterative, and scales in the direction that provides the highest value.

Get Started

Bottom Line

APA is a new operating model.

Governed and orchestrated agents are closing the gap between insight and action. It's time to think about agents like teammates with job descriptions, controls, and KPIs. Success starts small, iterative, and scales in the direction that provides the highest value.

Get Started

Bottom Line

APA is a new operating model.

Governed and orchestrated agents are closing the gap between insight and action. It's time to think about agents like teammates with job descriptions, controls, and KPIs. Success starts small, iterative, and scales in the direction that provides the highest value.

Get Started