Business growth and operating guides

Choose the issue you need to resolve

Each guide includes working files and an AI prompt you can use for support. Follow the instructions and add your own evidence and decisions.

• Whole-Business Conversion Audit

  Trace how demand, revenue, customer signals, decisions, investment and proven work turn into value, then agree what to continue, validate, defer or stop.

• Market Demand Signal System

  Compare market signals and their limits to decide which evidence should influence a commercial decision.

• Customer Evidence and Segment Priority Standard

  Use customer behaviour, research, commercial value and service evidence to choose which segments deserve investment.

• Digital Growth Diagnostic

  Find where demand stops becoming qualified enquiries, revenue or repeat business before funding more growth activity.

• End-to-End Customer Journey and Handoff Audit

  Follow the customer journey across sales, service and delivery to find where promises or customer needs are lost between teams.

• Revenue Leakage Prioritisation Playbook

  Compare revenue losses by economic importance, evidence, dependencies and risk to decide where to act first.

• Growth Investment Portfolio

  Compare growth initiatives on a common investment basis and decide what to fund, sequence, validate or stop.

• Search and Answer-Engine Visibility Operating Standard

  Connect indexing, authority, content and conversion evidence to clear responsibilities for search and answer-engine visibility.

• Growth Capability and Partner Appointment Playbook

  Choose growth support by matching capability, accountability, implementation responsibility and commercial controls to the work.

• Growth System Operating and Scale Standard

  Put growth priorities into practice with clear owners, regular reviews, evidence-based tests and conditions for expanding or stopping.

• Automation and Technology Readiness Assessment

  Check whether a workflow is ready for automation and decide what to pursue, validate, defer or stop before investing.

• Workflow Constraint and Root-Cause Audit

  Find whether manual effort comes from workflow, exceptions, controls or unclear responsibility before treating it as a technology gap.

• Automation Opportunity Portfolio

  Compare automation opportunities on value, feasibility, risk, dependencies and learning before deciding what to fund first.

• Automation Architecture Decision

  Compare rules, existing platforms, agents, custom software and no-build options to choose a solution the team can support.

• AI and Automation Governance Standard

  Agree who may use automation and AI, what they may do, and which permissions, evidence and incident controls are required.

• Proof-of-Value Pilot Standard

  Design a focused automation pilot with a baseline, acceptance criteria, failure checks and rollback evidence for the next production decision.

• Governed AI Agent Delivery Playbook

  Turn an AI-agent use case into defined permissions, checkable actions, human escalation and clear responsibility for running it.

• Automation Production Operating Standard

  Assign responsibility for running automation, including integrations, monitoring, incidents, versions and controlled changes.

• Automation Partner and Commercial Due-Diligence Playbook

  Compare automation partners on the same scope, evidence, data and IP terms, running costs, support and exit obligations.

• Enterprise Automation Scale Standard

  Check the evidence, shared controls, capacity and ownership needed before expanding automation to more teams.

• Measurement and Decision Intelligence Audit

  Check collection, definitions, data lineage and ownership to establish which management evidence can support a decision.

• Executive Decision Inventory

  Define the recurring leadership decisions, evidence, thresholds, owners and actions your reporting needs to support.

• Data Strategy and Investment Portfolio

  Prioritise data investment around business decisions, with clear ownership, access, architecture, capability and funding checks.

• Data Maturity, Quality and Lineage Assessment

  Trace data from its source to the decision and check its quality, ownership, limits and repair needs.

• Metric Contract and Semantic Model Standard

  Agree metric definitions, calculations, sources, exclusions, thresholds and limits, and name who controls changes.

• Executive Reporting and Review-Cadence Standard

  Connect executive reports to decision thresholds, review meetings and follow-up actions so the team can learn from the result.

• Management Intelligence Architecture Playbook

  Design reporting architecture around business decisions, including source data, transformations, definitions, security and reconciliation.

• Data Governance, Access and Privacy Operating Standard

  Set practical rules for data ownership, classification, access, retention, privacy and exceptions in everyday work.

• BI Partner Appointment and Delivery Assurance Playbook

  Assess a BI partner's decision design, architecture, controls, reconciliation, adoption and contribution before appointment.

• Decision Intelligence Operating and Scale Standard

  Keep decision data trustworthy through definition ownership, quality checks, decision logs, exception reviews and controlled expansion.

• Transformation Assessment

  Trace funded strategy into everyday work to find the workflow, data, technology, capability or decision-rights problem limiting results.

• Transformation Scope Decision

  Decide whether the problem needs a local improvement, automation, modernisation or operating-model transformation before commissioning work.

• Operating Model and Workflow Root-Cause Audit

  Find the ownership, incentive, handoff, capability or decision-rights problem that keeps a programme issue recurring.

• Transformation Portfolio and Investment Case

  Compare transformation investments using baselines, benefit ranges, operating costs, risk, capacity and dependencies.

• Fundable Transformation Roadmap

  Sequence transformation around outcomes, dependencies, capacity and responsible owners, with clear checks before further investment.

• Transformation Governance and Decision-Rights Standard

  Agree who makes transformation decisions, what evidence they need and how exceptions or unresolved questions are escalated.

• Adoption and Capability Transfer Playbook

  Help people use the agreed changes in everyday work through clear roles, training, manager support and a workable transition.

• Legacy Modernisation Decision

  Choose a legacy-system approach using business value, technical condition, dependencies, transition risk, capacity and cost.

• Transformation Partner Appointment

  Assess transformation support against the required contribution, evidence, capacity, acceptance criteria, skills transfer and exit controls.

• Stalled Transformation Recovery

  Reset the baseline for a stalled programme and make an independent recovery, stop or expansion decision without defending sunk costs.

• Product Opportunity Sprint

  Use a focused sprint to compare user, commercial, workflow and technical evidence before deciding whether to build, buy, test or stop.

• Product Problem and Market Validation Standard

  Test whether a product problem is real, valuable and urgent using customer behaviour, commercial and operating evidence.

• Build, Buy, Configure, Integrate or Stop Decision

  Compare building, buying, configuration, integration, retirement and no-build options against the workflow, controls and lifetime costs.

• Evidence Artefact Decision

  Choose the smallest safe prototype, test or other evidence artefact that can answer your question, with clear acceptance and stopping rules.

• Product Strategy, Roadmap and Portfolio Governance Standard

  Use strategy, discovery evidence, capacity and dependencies to prioritise product opportunities before committing to features.

• Solution Architecture Requirements

  Define the reliability, security, data, integration, performance and support requirements a solution must meet after launch.

• Software Investment Business Case

  Build a phased software investment case that shows scope uncertainty, lifetime costs, downside, alternatives and value checks.

• Software Partner Due Diligence

  Assess a software partner's product, architecture, security, quality, commercial, handover and exit evidence before appointment.

• Product Delivery Governance Standard

  Set clear responsibilities and evidence requirements for product delivery, quality, security, changes and production acceptance.

• Product Adoption, Operability and Scale Gate

  Check adoption, outcomes, reliability, support, costs and operating capability before expanding a launched product.

Put the decision in context

• How to Choose a Digital Transformation Consultant in South Africa

  Assess a transformation partner's business understanding, independence and ability to deliver changes that work in your organisation.

• What Is a Data Strategy and Why Does Your Business Need One?

  Build a data strategy around the decisions your business needs to make, with clear responsibilities, reliable data and appropriate access.

If your team needs wider access, decision-making authority or an independent assessment, see how Abrasim can help.