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Halden & Company / Resources / AI Playbook Library

Living practical AI intelligence

A playbook for every important AI decision.

Forty-six practical guides for leaders and teams deciding where AI creates real value—from strategy and governance to Excel, accounting, sales, marketing, engineering, quotation, and analysis workflows.

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The Halden framework

Understand. Find. Prepare. Put into practice. Measure.

Every guide takes a business-first view: what the capability is, what has changed, where it does and does not fit, who needs to be involved, how to run a controlled implementation, and how to decide whether to scale.

01
Understand
02
Find
03
Prepare
04
Practice
05
Measure

Editorial discipline

Designed to be worked through, not skimmed and forgotten.

The new implementation series gives each subject a distinct cover palette, while every interior follows the same decision grid: current work, evidence, controls, ownership, and the smallest credible next move.

01 / Productivity

Enterprise generative AI

Securely applying general-purpose generative AI to everyday knowledge work.

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02 / Operations

AI agents and workflow orchestration

Designing supervised systems that can reason across tasks and take bounded actions.

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03 / Knowledge

Retrieval-augmented generation

Connecting AI to governed internal knowledge without pretending the model knows everything.

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04 / Insight

Multimodal AI

Using text, image, audio, video, and documents together to understand business work.

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05 / Efficiency

AI automation

Automating repeatable work while preserving human ownership for exceptions and approvals.

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06 / Operations

Intelligent document processing

Extracting, classifying, validating, and routing information from business documents.

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07 / Growth

AI for sales and business development

Making account research, qualification, proposal work, and follow-up more useful.

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08 / Growth

AI for marketing and go-to-market

Improving planning, content operations, audience insight, and campaign learning.

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09 / Service

AI customer service and contact centers

Combining self-service, agent assist, and quality management responsibly.

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10 / Control

AI for finance and accounting

Improving controlled financial workflows without weakening review and auditability.

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11 / People

AI for HR and workforce capability

Using AI responsibly for learning, workforce support, and people operations.

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12 / Control

AI for legal, risk, and compliance

Using AI to accelerate review and discovery while retaining accountable professional judgment.

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13 / Governance

AI governance and responsible AI

Creating practical controls, ownership, and evidence for safe organizational use.

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14 / Security

AI security and data protection

Protecting data, identities, prompts, tools, and connected systems in AI-enabled work.

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15 / Quality

AI evaluation and quality assurance

Measuring whether AI outputs and workflows are dependable enough for their purpose.

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16 / Foundation

AI platform and data foundations

Choosing the data, integration, identity, observability, and vendor foundations for scale.

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17 / Productivity

AI copilots for knowledge workers

Introducing role-specific assistance that changes work without creating unmanaged shadow use.

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18 / Operations

AI for manufacturing and field operations

Applying AI to documentation, quality, maintenance, and frontline decision support.

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19 / Operations

AI for construction and project delivery

Improving project information flow, documentation, coordination, and risk visibility.

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20 / Efficiency

AI for food and beverage operations

Improving forecasting, standard work, customer insight, and multi-site operating discipline.

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21 / Service

AI for professional and PRO services

Turning specialist knowledge into faster, more consistent client delivery.

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22 / Service

AI for healthcare administration

Improving administrative workflows while respecting sensitive data and clinical boundaries.

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23 / Control

AI for banking and financial services

Applying AI in high-control environments with strong governance, evidence, and human accountability.

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24 / Growth

AI products, services, and commercialization

Using AI to create differentiated offerings, customer experiences, and go-to-market capability.

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25 / Productivity

Personal AI assistant

A practical guide to building a supervised personal AI assistant for repeated knowledge work.

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26 / Growth

AI growth operations

A practical guide to designing AI-enabled growth operations with accountable commercial review.

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27 / Analysis

Implementing AI in Excel

Using AI to improve spreadsheet analysis, formulas, reporting, and repeatable financial operations while keeping review in the workflow.

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28 / Productivity

Implementing AI in day-to-day work

Introducing practical AI assistance into everyday work without creating vague expectations or unmanaged shadow use.

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29 / Control

Implementing AI in accounting work

Applying AI to controlled accounting work while preserving auditability, evidence, review, and accountable professional judgment.

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30 / Growth

Implementing AI in sales cycles

Using AI to make discovery, qualification, account research, proposals, and follow-up more deliberate and customer-relevant.

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31 / Growth

Implementing AI in marketing work

Building a responsible AI-enabled marketing practice for research, planning, content operations, and campaign learning.

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32 / Engineering

Implementing AI in engineering work

Applying AI to engineering knowledge, documentation, review, and design support with clear technical accountability.

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33 / Engineering

Implementing AI in machine design

Using AI in machine-design workflows to improve knowledge retrieval, concept work, documentation, and controlled engineering review.

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34 / Commercial

Implementing AI in quotation workflows

Improving quotation preparation, scope clarity, evidence gathering, and review without allowing generated output to replace commercial accountability.

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35 / Analysis

Implementing AI in business analysis

Using AI to strengthen business analysis while keeping evidence, stakeholder context, and decision ownership visible.

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36 / Analysis

Implementing AI in financial analysis

Applying AI to financial-analysis workflows with explicit data controls, transparent assumptions, and expert review.

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37 / Strategy

AI business case and ROI

Building an honest case for AI investment, with baselines, costs, benefits and the evidence to stop or scale.

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38 / People

AI change management and adoption

Moving people from curiosity to dependable daily use through roles, habits, incentives and support.

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39 / Procurement

AI vendor selection and contracting

Choosing and contracting AI tools and partners with clear tests, terms, exit routes and accountability.

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40 / Skills

Prompting and context design for business teams

Writing requests, supplying context and building reusable instructions that make outputs dependable.

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41 / Operations

AI for procurement and supply chain

Improving sourcing, supplier management, demand signals and exception handling with supervised AI.

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42 / Growth

AI for retail and e-commerce

Applying AI to merchandising, content, service, search and operations without losing customer trust.

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43 / Regulated

AI for insurance operations

Supporting underwriting, claims, service and compliance work with controlled, explainable AI.

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44 / Operations

AI for logistics and transportation

Using AI for planning, documentation, exceptions, customer updates and network learning.

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45 / Operations

AI for real estate and property management

Applying AI to leasing, maintenance, documents, tenant service and portfolio insight with human accountability.

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46 / Operations

AI for IT operations and service desk

Using AI to resolve tickets faster, improve knowledge and reduce toil while keeping change control and security intact.

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Apply the library to your organization

Choose the work worth changing before you choose a tool.

Start with the AI Readiness Assessment or bring a real workflow to Halden for a practical conversation.

Take the AI Readiness Assessment Talk to Halden