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How RPA and Intelligent Automation Differ and Why It Matters for Your Business

RPA automates repetitive tasks like data entry, while Intelligent Automation (IA) uses AI to tackle complex challenges. Discover their differences, real-world uses, and how Haptiq blends both to boost efficiency and growth for your business.

January 7, 2026
March 20, 2025
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6
min read
Rich Davis
Chief Technology Officer
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AI & Automation

Featured Articles

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Private Equity Investment Strategies: Buyouts, Growth Capital, and Distressed Assets

Bhuvan Khanna
November 4, 2025
May 23, 2025
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7
min
Alternative Investments

AI in software development: how it's reshaping the way teams build software and why businesses should care

Bhuvan Khanna
October 20, 2025
March 20, 2025
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6
min
AI & Automation

Development velocity: how to measure it, improve it, and sustain it with agile

Rich Davis
September 30, 2025
March 20, 2025
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5
min
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How Augmented Reality Enhances Field Service Operations and Outcomes

Rich Davis
September 19, 2025
March 20, 2025
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4
min
Manufacturing

Haptiq Launches Game-Changing AI Platform to Future-Proof Private Equity Portfolios Through Market Cycles

Alon Tvina
June 25, 2025
June 25, 2025
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2
min
AI & Automation

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How a connected execution layer supports cross-functional consistency
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Why workflow management fragments across multi-site businesses
What it means to embed AI into each step of execution
Why PE operating partners are shifting toward connected execution platforms
How Haptiq uses Orion to redesign how work happens above existing systems
Why ERP modernization is being re-sequenced in private equity
Where manufacturers and logistics operators should focus first post-close
Why workflow fragmentation matters more than isolated process findings
What operational due diligence reveals beyond static asset checks
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Operational efficiency beyond cost cutting
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PE and portfolio execution playbooks
Governance and auditability for AI driven action
Decision latency and exception work; Embedding intelligence into workflows
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Decision latency and exception work
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Decision latency and exception handling
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Defining generative AI vs agentic AI
A practical roadmap to eliminate bottlenecks and build durable operational flow
The operational foundations of high-performing DCs: routing, labor coordination, inventory truth, and exception flow
Decision latency, exception backlogs, and the hidden cost of fragmented execution
Scaling automation with operating models, performance measurement, and AI-native orchestration
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Core capabilities that separate enterprise-grade platforms from point tools
Integration patterns with CRM, analytics, and sales systems
Compliance, cybersecurity, and auditability requirements shaping platform decisions
Portfolio analytics, performance attribution, and exception-driven oversight
Investor relations and LP readiness as continuous operating discipline
Fund administration, accounting, and fee complexity in illiquid structures
Operating models, KPI definitions, and portfolio pattern libraries that scale
Moving from dashboards to closed-loop execution with real-time signals
Why portfolios struggle with comparability, latency, and data trust
The private equity data analytics stack: integration, semantics, decisioning, governance
Turning portfolio data into alpha across sourcing, diligence, and value creation
How to measure organizational resilience in operational terms
Orchestration patterns that reduce reliance on individual experts
What operational memory looks like in grid, field, and back-office workflows
How “tribal knowledge” becomes a reliability, safety, and compliance liability
Why workforce shortages in utilities translate into execution risk, not just staffing gaps
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Auditability, data integrity, and evidence capture at the point of action
Decision latency as a root driver of quality risk, release delays, and supply unreliability
Batch-based execution versus continuous decision-making in regulated workflows
Defining real-time operations in the life sciences industry in operational, GMP terms
Governance and controls that keep execution defensible at scale
A practical operating model for sustaining value capture beyond cutover
How integration debt accumulates in exceptions, approvals, and handoffs
What tribal knowledge contains and why SOPs do not preserve it
Governance and evidence capture for auditable workforce operations
Workflow-embedded guidance for changeovers, maintenance, and quality response
Why workforce turnover and retirements expose hidden execution risk
Metrics that prove rhythm: WIP aging, constraint starvation, queue volatility, and schedule adherence
Bottleneck containment patterns and exception workflows that prevent flow collapse
How real time analytics in manufacturing reduces decision latency at the line and cell level
Operational telemetry versus traditional reporting and lagging dashboards
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Portfolio-scale integration patterns for PE value creation
How EOPs unify state, workflows, and decisioning
Why siloed systems create decision latency and workarounds
Defining enterprise system integration beyond connectivity
Operating models that make real-time execution scalable in the life sciences industry
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Batch-based execution versus continuous, governed decision-making
Decision latency as a driver of quality and supply reliability
Real-time operations in GMP-regulated environments
Performance measurement for network resilience and containment
Partner coordination across carriers
Real-time orchestration as an execution layer
Why visibility and point tools fail to coordinate response
Cascading delays and systemic failure in the logistics network
Measuring capacity gains and linking to outcomes
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Why GMP compliance slowdowns usually come from execution gaps, not missing SOPs
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Operational telemetry for GMP compliance, leading indicators versus post-event reporting
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Where deviations, CAPA, batch release, and change control stall at cross-functional seams
High-impact workflows to modernize first: deviations, batch release, change control, tech transfer
What an operational layer is and how it turns multi-system truth into synchronized execution
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How LIMS, MES, QMS, and ERP create functional optimization and enterprise disconnection
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Why intelligent process automation breaks in legacy portfolio companies
Post Merger Integration
Marketing Technology
How Haptiq enables interoperability, orchestration, and KPI discipline for outage performance
The shift from OMS as an application to OMS as orchestrated operational execution
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