# Prescient Labs Resource Hub

> Build and grow an evidence-led AI consultancy with Iris.

- [Prescient Labs Resource Hub](https://irisdocs.prescientlabs.ai/index.md): Practical guidance for building and running an evidence-led AI consultancy with Iris.
- [Who This Resource Hub Is For](https://irisdocs.prescientlabs.ai/start-here/who-this-is-for.md): For technically capable consultants and small consultancies that want a repeatable consulting method.
- [The Consulting Business Model](https://irisdocs.prescientlabs.ai/start-here/consulting-business-model.md): Use a diagnostic-led commercial model from first problem through implementation and expansion.
- [Learning Paths](https://irisdocs.prescientlabs.ai/start-here/learning-paths.md): Choose the shortest route to the commercial outcome you need next.
- [Consultancy Maturity Model](https://irisdocs.prescientlabs.ai/start-here/maturity-model.md): Focus on the operating bottleneck at your current stage.
- [Positioning & Service Offer](https://irisdocs.prescientlabs.ai/academy/positioning/overview.md): Define who you serve, the problem you solve and the first thing you sell.
- [Defining Your Niche](https://irisdocs.prescientlabs.ai/academy/positioning/defining-your-niche.md): Choose a focused market position without narrowing yourself so aggressively that you remove viable demand.
- [Service Offer Design](https://irisdocs.prescientlabs.ai/academy/positioning/service-offer-design.md): Turn your expertise into a clear consulting offer with defined scope, outputs, boundaries and a natural path to implementation.
- [Messaging & Value Proposition](https://irisdocs.prescientlabs.ai/academy/positioning/messaging-and-value-prop.md): Explain your offer in business language that connects the client's problem, outcome and your evidence-led method.
- [Credibility & Finding Clients](https://irisdocs.prescientlabs.ai/academy/credibility/overview.md): Build enough proof to start relevant conversations and win a paid diagnostic.
- [Building Credibility When You Are New](https://irisdocs.prescientlabs.ai/academy/credibility/building-credibility.md): Build trust through relevance, proof, method and reliable delivery.
- [Build a Credible LinkedIn Profile](https://irisdocs.prescientlabs.ai/academy/credibility/linkedin-profile.md): Make it immediately clear who you help, which problem you solve and why you are credible.
- [Outbound & Network](https://irisdocs.prescientlabs.ai/academy/credibility/outbound-and-network.md): Use warm access and targeted outbound to create qualified conversations.
- [Referrals & Partnerships](https://irisdocs.prescientlabs.ai/academy/credibility/referrals-and-partnerships.md): Create warm introductions and partner-led demand from a clear referral trigger.
- [Content & Inbound](https://irisdocs.prescientlabs.ai/academy/credibility/content-and-inbound.md): Publish material that demonstrates judgment and creates relevant sales conversations.
- [Sales, Pricing & Proposals](https://irisdocs.prescientlabs.ai/academy/sales/overview.md): Diagnose the commercial problem before proposing the engagement.
- [Running the First Discovery Call](https://irisdocs.prescientlabs.ai/academy/sales/discovery-calls.md): Diagnose the business problem, consequence, urgency and decision process before pitching your solution.
- [Qualification & Disqualification](https://irisdocs.prescientlabs.ai/academy/sales/qualification-and-disqualification.md): Decide whether an opportunity is worth pursuing before investing heavily in demos, proposals or unpaid solution design.
- [Pricing Consulting Work](https://irisdocs.prescientlabs.ai/academy/sales/pricing-models.md): Choose a pricing model that protects scope, reflects risk and connects the fee to the value and complexity of the engagement.
- [Proposals & Statements of Work](https://irisdocs.prescientlabs.ai/academy/sales/proposals-and-sows.md): Write concise proposals that confirm the problem, scope, method, responsibilities, price and decision required.
- [Objection Handling](https://irisdocs.prescientlabs.ai/academy/sales/objection-handling.md): Diagnose what is behind a sales objection and respond without becoming defensive or discounting too quickly.
- [Negotiation](https://irisdocs.prescientlabs.ai/academy/sales/negotiation.md): Protect scope, price and delivery quality by trading deliberately rather than conceding automatically.
- [Pipeline Management](https://irisdocs.prescientlabs.ai/academy/sales/pipeline-management.md): Run a lightweight sales pipeline that makes next actions, conversion and forecast risk visible.
- [Running a Diagnostic Engagement](https://irisdocs.prescientlabs.ai/academy/diagnostic/overview.md): Turn a client problem into validated evidence and a clear implementation decision.
- [Scoping a Diagnostic](https://irisdocs.prescientlabs.ai/academy/diagnostic/scoping.md): Define a bounded business question, process scope and stakeholder evidence plan before the engagement begins.
- [Stakeholder Selection](https://irisdocs.prescientlabs.ai/academy/diagnostic/stakeholder-plan.md): Select a stakeholder mix that captures leadership intent, process ownership, frontline reality and important exceptions.
- [Evidence Collection](https://irisdocs.prescientlabs.ai/academy/diagnostic/evidence-collection.md): Use interviews and screen observation to build a representative, evidence-backed view of how the process actually works.
- [Synthesising Findings](https://irisdocs.prescientlabs.ai/academy/diagnostic/synthesis.md): Turn raw evidence into validated findings without collapsing assumptions, symptoms and root causes into the same thing.
- [AI & Automation Opportunities](https://irisdocs.prescientlabs.ai/academy/opportunities/overview.md): Choose the simplest intervention that solves the evidenced problem.
- [Spotting Opportunities](https://irisdocs.prescientlabs.ai/academy/opportunities/spotting-opportunities.md): Recognise patterns in real workflows that indicate process, automation, integration or AI opportunities.
- [Prioritising Opportunities](https://irisdocs.prescientlabs.ai/academy/opportunities/prioritisation.md): Rank opportunities using commercial impact, feasibility, risk, readiness, dependencies and time to value.
- [Assessing Opportunity Feasibility](https://irisdocs.prescientlabs.ai/academy/opportunities/feasibility.md): Test whether an AI, automation, integration or process-change opportunity is practical before recommending implementation.
- [Building the Business Case](https://irisdocs.prescientlabs.ai/academy/business-case/overview.md): Convert diagnostic evidence into transparent commercial assumptions.
- [ROI Fundamentals](https://irisdocs.prescientlabs.ai/academy/business-case/roi-fundamentals.md): Use simple, defensible formulas for capacity, cost, revenue and payback without overstating certainty.
- [Cost & Benefit Modelling](https://irisdocs.prescientlabs.ai/academy/business-case/cost-and-benefit-modelling.md): Build a transparent commercial model that separates baseline, expected change, implementation cost and ongoing cost.
- [Risk & Assumptions](https://irisdocs.prescientlabs.ai/academy/business-case/risk-and-assumptions.md): Make uncertainty explicit so the client can distinguish observed evidence from implementation assumptions.
- [Deliverables & Executive Communication](https://irisdocs.prescientlabs.ai/academy/deliverables/overview.md): Present the finding, consequence and decision without burying the answer.
- [Structuring the Diagnostic Report](https://irisdocs.prescientlabs.ai/academy/deliverables/report-structure.md): Build a client deliverable that moves from evidence to implication, recommendation and action.
- [Presenting to Executives](https://irisdocs.prescientlabs.ai/academy/deliverables/executive-presentation.md): Lead with the conclusion, quantify what matters and create a discussion that ends in a clear decision.
- [Handling Questions & Challenge](https://irisdocs.prescientlabs.ai/academy/deliverables/handling-questions.md): Answer executive questions with evidence, explicit assumptions and clear limits.
- [Implementation & Expansion](https://irisdocs.prescientlabs.ai/academy/implementation/overview.md): Turn the first recommendation into a bounded production project.
- [Scoping Implementation](https://irisdocs.prescientlabs.ai/academy/implementation/scoping-implementation.md): Turn a diagnostic recommendation into a production scope with clear outcomes, boundaries, dependencies and acceptance criteria.
- [Implementation Delivery Models](https://irisdocs.prescientlabs.ai/academy/implementation/delivery-models.md): Choose whether to deliver implementation yourself, with a partner or alongside the client's internal team.
- [Expansion & Recurring Revenue](https://irisdocs.prescientlabs.ai/academy/implementation/expansion-and-upsell.md): Use successful diagnostic and implementation work to expand accounts through additional workflows, departments and recurring services.
- [Consulting Operations](https://irisdocs.prescientlabs.ai/academy/operations/overview.md): Control scope, decisions, communication and commercial delivery.
- [Client Onboarding](https://irisdocs.prescientlabs.ai/academy/operations/client-onboarding.md): Create a professional start to the engagement with clear ownership, stakeholder coverage, timeline and communication.
- [Engagement Management](https://irisdocs.prescientlabs.ai/academy/operations/engagement-management.md): Control milestones, risks, client dependencies and scope without burying a small project in unnecessary bureaucracy.
- [Client Communication](https://irisdocs.prescientlabs.ai/academy/operations/client-communication.md): Communicate progress, evidence gaps, risk, delay and decisions in a way that increases confidence rather than creating surprises.
- [Scope Control](https://irisdocs.prescientlabs.ai/academy/operations/scope-control.md): Protect delivery quality and margin by distinguishing useful clarification from genuinely new work.
- [Finance & Administration](https://irisdocs.prescientlabs.ai/academy/operations/finance-and-admin.md): Protect cash flow and project margin with clear terms and prompt invoicing.
- [Growing the Consultancy](https://irisdocs.prescientlabs.ai/academy/growth/overview.md): Scale only after sales and delivery are repeatable.
- [Consultancy KPIs](https://irisdocs.prescientlabs.ai/academy/growth/consultancy-kpis.md): Track the metrics that expose the current commercial or delivery bottleneck.
- [Capacity & Utilisation](https://irisdocs.prescientlabs.ai/academy/growth/capacity-and-utilisation.md): Plan delivery capacity without starving sales and account development.
- [Recurring Revenue](https://irisdocs.prescientlabs.ai/academy/growth/recurring-revenue.md): Design ongoing services around work that genuinely recurs rather than disguising a one-off project as a retainer.
- [Hiring & Partners](https://irisdocs.prescientlabs.ai/academy/growth/hiring-and-partners.md): Add capacity when you understand the actual bottleneck: sales, delivery, technical depth, project management or founder time.
- [Scaling Delivery](https://irisdocs.prescientlabs.ai/academy/growth/scaling-delivery.md): Standardise the parts of consulting that should repeat while preserving judgment where client context genuinely differs.
- [Build a Repeatable Consulting Machine](https://irisdocs.prescientlabs.ai/academy/growth/repeatable-consulting-machine.md): Standardise the parts of consulting that should not depend on founder habits.
- [AI Risk & Governance](https://irisdocs.prescientlabs.ai/academy/risk/overview.md): Match controls to the consequence of failure.
- [Responsible AI in Client Engagements](https://irisdocs.prescientlabs.ai/academy/risk/responsible-ai.md): Design AI use cases with clear ownership, testing, human oversight and failure handling.
- [Data & Privacy](https://irisdocs.prescientlabs.ai/academy/risk/data-and-privacy.md): Minimise unnecessary data exposure and escalate higher-risk use cases appropriately.
- [Model Limitations & Human Oversight](https://irisdocs.prescientlabs.ai/academy/risk/model-limitations.md): Design AI use cases around uncertainty, review requirements and failure modes rather than assuming model outputs are always reliable.
- [Security & Agent Risk](https://irisdocs.prescientlabs.ai/academy/risk/security-and-agent-risk.md): Assess permissions, data exposure and autonomous actions when AI systems can access tools, systems or sensitive information.
- [Client AI Governance](https://irisdocs.prescientlabs.ai/academy/risk/client-governance.md): Create lightweight ownership and review mechanisms so AI initiatives remain controlled after the consultant leaves.
- [Iris Fundamentals](https://irisdocs.prescientlabs.ai/iris/fundamentals/overview.md): Understand the self-serve Iris diagnostic workflow.
- [How Iris Works](https://irisdocs.prescientlabs.ai/iris/fundamentals/how-iris-works.md): Follow the self-serve Iris workflow from setup to client-ready report.
- [Key Iris Concepts](https://irisdocs.prescientlabs.ai/iris/fundamentals/key-concepts.md): A practical glossary for interpreting Iris evidence and outputs consistently.
- [Setting Up an Engagement](https://irisdocs.prescientlabs.ai/iris/engagement/setup.md): Create an Iris engagement around a clear business question and process boundary.
- [Inviting Stakeholders](https://irisdocs.prescientlabs.ai/iris/stakeholders/inviting-stakeholders.md): Give participants enough context to provide useful evidence.
- [Running Iris Interviews](https://irisdocs.prescientlabs.ai/iris/interviewer/running-interviews.md): Capture broad, concrete stakeholder evidence without over-probing one topic.
- [Interview Quality](https://irisdocs.prescientlabs.ai/iris/interviewer/interview-quality.md): Check whether stakeholder evidence is concrete and sufficient for synthesis.
- [Capturing Screen Observation](https://irisdocs.prescientlabs.ai/iris/screen-observation/capture.md): Use consent-based observation when on-screen task detail materially improves the diagnostic.
- [Interpreting Screen Observation](https://irisdocs.prescientlabs.ai/iris/screen-observation/interpretation.md): Turn observed task detail into process insight without overgeneralising from one participant.
- [Generating a Process Map](https://irisdocs.prescientlabs.ai/iris/process-maps/generating-maps.md): Create a current-state process view without over-fragmenting the workflow.
- [Refining Process Maps](https://irisdocs.prescientlabs.ai/iris/process-maps/refining-maps.md): Simplify the map without removing diagnostically important complexity.
- [Reading Workflows](https://irisdocs.prescientlabs.ai/iris/workflow/reading-workflows.md): Move from process shape to business consequence.
- [Validating with Stakeholders](https://irisdocs.prescientlabs.ai/iris/workflow/validating-with-stakeholders.md): Confirm the current state, resolve contradictions and label what remains uncertain.
- [Surfacing Opportunities](https://irisdocs.prescientlabs.ai/iris/opportunities/surfacing-opportunities.md): Turn validated workflow friction into candidate interventions.
- [Qualifying Opportunities](https://irisdocs.prescientlabs.ai/iris/opportunities/qualifying-opportunities.md): Decide which surfaced opportunities are credible enough to recommend.
- [Report Composer](https://irisdocs.prescientlabs.ai/iris/reports/overview.md): Turn validated Iris evidence into the client deliverable.
- [Using the Report Composer](https://irisdocs.prescientlabs.ai/iris/reports/generating-reports.md): Assemble validated findings and recommendations into the final Iris report.
- [Customising Reports](https://irisdocs.prescientlabs.ai/iris/reports/customising-reports.md): Tailor the report to the decision-maker without weakening evidence traceability.
- [Iris Security & Privacy](https://irisdocs.prescientlabs.ai/iris/security/overview.md): High-level security and privacy guidance for self-serve Iris diagnostics.
- [Data Handling](https://irisdocs.prescientlabs.ai/iris/security/data-handling.md): Minimise evidence collection and access during an Iris engagement.
- [Common Iris Issues](https://irisdocs.prescientlabs.ai/iris/troubleshooting/common-issues.md): Diagnose common engagement problems before retrying or changing evidence unnecessarily.
- [Getting Support](https://irisdocs.prescientlabs.ai/iris/troubleshooting/getting-support.md): Capture enough context to reproduce an Iris issue without exposing unnecessary client data.
- [Use Case Library](https://irisdocs.prescientlabs.ai/use-cases/overview.md): Use business-function patterns to generate hypotheses, not generic AI recommendations.
- [Sales Use Cases](https://irisdocs.prescientlabs.ai/use-cases/sales.md): Opportunity patterns across lead research, CRM administration, proposals, follow-up and forecasting.
- [Marketing Use Cases](https://irisdocs.prescientlabs.ai/use-cases/marketing.md): Opportunity patterns for research, content operations, campaign analysis and personalisation.
- [Customer Service Use Cases](https://irisdocs.prescientlabs.ai/use-cases/customer-service.md): Opportunity patterns for triage, agent assistance, knowledge retrieval, response drafting and quality review.
- [Finance Use Cases](https://irisdocs.prescientlabs.ai/use-cases/finance.md): Opportunity patterns across invoice processing, collections, reconciliation, expenses and reporting.
- [HR Use Cases](https://irisdocs.prescientlabs.ai/use-cases/hr.md): Opportunity patterns for onboarding, policy support, recruitment administration and learning, with stronger fairness controls.
- [Operations Use Cases](https://irisdocs.prescientlabs.ai/use-cases/operations.md): Opportunity patterns for scheduling, document processing, routing, SOPs, exceptions and operational visibility.
- [Procurement Use Cases](https://irisdocs.prescientlabs.ai/use-cases/procurement.md): Opportunity patterns for supplier comparison, purchase-order processing, contract extraction and spend analysis.
- [Legal & Compliance Use Cases](https://irisdocs.prescientlabs.ai/use-cases/legal-compliance.md): Opportunity patterns for document review, policy monitoring, contract analysis and evidence gathering.
- [IT Use Cases](https://irisdocs.prescientlabs.ai/use-cases/it.md): Opportunity patterns for service desk, incident summaries, documentation, coding support and knowledge management.
- [Worked Example — Accounting Firm Client Onboarding](https://irisdocs.prescientlabs.ai/worked-examples/accounting-firm.md): Illustrative end-to-end diagnostic for a 25–100 employee accounting firm with a manual client-onboarding workflow.
- [Worked Example — Recruitment Firm Workflow](https://irisdocs.prescientlabs.ai/worked-examples/recruitment-firm.md): Illustrative diagnostic for a recruitment firm experiencing manual candidate, client and CRM administration.
- [Worked Example — Professional Services Proposal Production](https://irisdocs.prescientlabs.ai/worked-examples/professional-services.md): Illustrative diagnostic for a professional-services firm with slow, fragmented proposal production.
- [Template Library](https://irisdocs.prescientlabs.ai/templates/overview.md): Reusable assets for sales, diagnostics, delivery and account growth.
- [Pricing Calculator Framework](https://irisdocs.prescientlabs.ai/templates/pricing-calculator.md): Build a defensible consulting price from delivery economics, scope complexity, risk and client value.
- [Qualification Scorecard](https://irisdocs.prescientlabs.ai/templates/qualification-scorecard.md): Score whether a consulting opportunity has a real problem, ownership, urgency, access and commercial fit.
- [Diagnostic Proposal Template](https://irisdocs.prescientlabs.ai/templates/proposal-template.md): A concise structure for proposing a paid diagnostic engagement.
- [Statement of Work Template](https://irisdocs.prescientlabs.ai/templates/sow-template.md): A practical checklist for defining delivery scope and commercial boundaries.
- [Diagnostic Report Template](https://irisdocs.prescientlabs.ai/templates/diagnostic-report-template.md): Structure a diagnostic deliverable around evidence, implications and decisions rather than a long narrative.
- [Business Case Template](https://irisdocs.prescientlabs.ai/templates/business-case-template.md): Build a transparent expected-value case with assumptions the client can challenge.
- [Client Onboarding Email](https://irisdocs.prescientlabs.ai/templates/client-onboarding-email.md): A concise welcome email confirming the engagement objective, kickoff and stakeholder preparation.
- [Weekly Client Update](https://irisdocs.prescientlabs.ai/templates/weekly-update.md): A lightweight professional-services status update focused on progress, decisions and risks.
- [Change Request Template](https://irisdocs.prescientlabs.ai/templates/change-request.md): Document a material scope change with transparent impact on fee, timeline and delivery.
- [Referral & Testimonial Requests](https://irisdocs.prescientlabs.ai/templates/referral-and-testimonial.md): Ask for social proof and introductions at the right moment with specific, low-friction language.
- [Discovery Call Script](https://irisdocs.prescientlabs.ai/templates/sales-scripts/discovery-call.md): A practical first-call structure for understanding the problem before proposing a diagnostic.
- [Objection Handling](https://irisdocs.prescientlabs.ai/templates/sales-scripts/objection-handling.md): Diagnose what is behind common objections before trying to answer them.
- [Follow-up Scripts](https://irisdocs.prescientlabs.ai/templates/sales-scripts/follow-up.md): Keep opportunities moving with concise follow-ups that add clarity instead of simply chasing.
- [Diagnostic Kickoff Checklist](https://irisdocs.prescientlabs.ai/templates/diagnostic/kickoff-checklist.md): Confirm scope, stakeholders, interviews, observation, governance and client responsibilities before diagnostic work begins.
- [Stakeholder Interview Guide](https://irisdocs.prescientlabs.ai/templates/diagnostic/interview-guide.md): A practical question structure for understanding real workflows, decisions, exceptions and friction.
- [Synthesis Worksheet](https://irisdocs.prescientlabs.ai/templates/diagnostic/synthesis-worksheet.md): Separate evidence, consequence, cause and recommendation before building the client story.
- [Quarterly Business Review Template](https://irisdocs.prescientlabs.ai/templates/growth/qbr-template.md): Run a concise client review that connects delivered work to outcomes and the next priority.
- [Account Expansion Plan](https://irisdocs.prescientlabs.ai/templates/growth/expansion-plan.md): Plan follow-on work around validated client priorities rather than generic upsell targets.
- [Case Study Template](https://irisdocs.prescientlabs.ai/templates/growth/case-study-template.md): Turn a successful engagement into credible proof using a clear before, intervention and outcome narrative.
- [What to Expect from an Iris Diagnostic](https://irisdocs.prescientlabs.ai/client-resources/what-to-expect.md): A client-friendly explanation of the diagnostic process and participant experience.
- [Preparing for a Diagnostic](https://irisdocs.prescientlabs.ai/client-resources/preparing-for-a-diagnostic.md): A client checklist for sponsors and process owners before Iris evidence collection begins.
- [Security & Privacy Brief](https://irisdocs.prescientlabs.ai/client-resources/security-and-privacy-brief.md): High-level client-facing guidance on responsible use of Iris during a consulting diagnostic.
- [Frequently Asked Questions](https://irisdocs.prescientlabs.ai/faq/overview.md): Quick answers on consulting, delivery, Iris and governance.
- [Consulting Practice FAQ](https://irisdocs.prescientlabs.ai/faq/consulting-practice.md): Common questions about starting, selling and running an AI consulting practice.
- [Sales & Objections FAQ](https://irisdocs.prescientlabs.ai/faq/sales-and-objections.md): Quick answers to common questions about discovery, qualification, demos, objections and negotiation.
- [Diagnostics & Delivery FAQ](https://irisdocs.prescientlabs.ai/faq/diagnostics-and-delivery.md): Quick answers to common questions about scoping, stakeholder evidence, validation, process analysis and client delivery.
- [Pricing & Commercial FAQ](https://irisdocs.prescientlabs.ai/faq/pricing-and-commercials.md): Common questions about pricing diagnostics, implementation and recurring consulting work.
- [Implementation & Growth FAQ](https://irisdocs.prescientlabs.ai/faq/implementation-and-growth.md): Quick answers about converting diagnostics into implementation, expansion, recurring revenue and team growth.
- [AI & Governance FAQ](https://irisdocs.prescientlabs.ai/faq/ai-and-governance.md): Quick answers about AI suitability, human oversight, data handling, security and governance in consulting engagements.
- [Client Management & Operations FAQ](https://irisdocs.prescientlabs.ai/faq/client-management-and-operations.md): Quick answers on onboarding, communication, scope and project close.
- [Iris Product FAQ](https://irisdocs.prescientlabs.ai/faq/iris-product.md): Common questions about the self-serve Iris diagnostic workflow.