Technology, experience, and growth systems built around the outcome.

Turn an operating problem or technology opportunity into a decision-ready roadmap, delivery model, and business case.

Outcome: A practical decision path connecting the business need, options, risks, investment, and next delivery step.

Typical scope

• Current-state and stakeholder discovery
• Problem framing, decision criteria, and outcome measures
• Technology options, assumptions, dependencies, and risks
• Phased roadmap, delivery model, and investment inputs

Give sponsors a clear view of the decision, trade-offs, ownership, and evidence needed to move an initiative forward.

Outcome: Better-timed decisions with a shared view of the operating and delivery implications.

Typical scope

• Executive decision briefs and option framing
• Investment, risk, dependency, and assumption review
• Governance cadence and decision-rights design
• Stakeholder alignment and escalation paths

Design the future-state work, roles, handoffs, controls, and capability changes before selecting a platform or automation path.

Outcome: A shared operating design with clearer ownership, controls, and priorities for change.

Typical scope

• Current-state process, role, and information-flow mapping
• Future-state workflow, exceptions, and control design
• Change impact, adoption, and operating-ownership analysis
• Requirements for data, reporting, integrations, and permissions

Bring a cross-functional initiative back to a credible plan when scope, ownership, risks, vendors, or decisions have become unclear.

Outcome: A transparent recovery path with accountable owners, controlled priorities, and a practical next release.

Typical scope

• Project health, scope, plan, risk, and dependency review
• Sponsor, vendor, and stakeholder alignment
• Recovery roadmap and delivery-governance reset
• Release readiness and decision support

Find the customer, user, market, and business evidence that should shape the product or service decision.

Outcome: A more confident view of the opportunity, audience, need, and value to test.

Typical scope

• Stakeholder and user research planning
• Problem, audience, and journey framing
• Opportunity hypotheses and success measures
• Discovery synthesis and decision recommendations

Research execution can be assembled with qualified specialists when the scope calls for deeper qualitative, quantitative, or market-research capability.

Turn a customer or operating opportunity into a product direction, service model, backlog, and release path.

Outcome: A delivery-ready product or service path built around verified user and business needs.

Typical scope

• Product vision, roadmap, backlog, and prioritization
• Service blueprinting and journey design
• Functional and non-functional requirements
• Acceptance criteria, testing, and adoption planning

Create a usable, coherent interface direction for a digital product, portal, or service experience.

Outcome: A clearer experience specification that can move into design and engineering with fewer avoidable gaps.

Typical scope

• Experience requirements and user-flow definition
• Information architecture and interaction direction
• Component and design-system requirements
• Design review, accessibility, and handoff coordination

ADW leads experience direction and delivery coordination. Visual design and specialist UX production are scoped with qualified designers when required.

Clarify the positioning, messages, and experience language that connect a business change to the people it needs to reach.

Outcome: A more consistent way to explain the offer, change, or product across key digital touchpoints.

Typical scope

• Positioning and message architecture
• Audience, channel, and content requirements
• Digital touchpoint and launch-communications planning
• Creative brief and production coordination

Creative production is delivered by qualified brand, content, and communications specialists when the engagement calls for it.

Establish the technical, content, and measurement foundations that help useful pages be discovered and understood over time.

Outcome: A repeatable publishing and discovery foundation—not a promise of a particular ranking or placement.

Typical scope

• Audience questions, search intent, and topic mapping
• Information architecture, metadata, and internal-link planning
• Content workflow, quality controls, and measurement design
• Technical SEO and structured-data requirements

Organic performance depends on competition, content quality, evidence, technical access, and time. ADW does not promise rankings, traffic, or LLM citations.

Define the people, process, data, reporting, and integration requirements behind CRM, lifecycle, service, or case-management work.

Outcome: A customer-operations initiative designed around the work teams and customers actually need to do.

Typical scope

• Customer, case, service, and lifecycle workflow mapping
• Data quality, permissions, reporting, and integration requirements
• Functional requirements, acceptance criteria, and UAT
• Adoption, operating ownership, and improvement planning

ADW does not claim CRM licensing, vendor partnership, or in-house platform configuration. Implementation is scoped through qualified specialists where needed.

Make campaigns, content, customer journeys, systems, and reporting work from the same operating picture.

Outcome: A clearer marketing operating model with ownership, instrumentation, and a decision-ready reporting rhythm.

Typical scope

• Lifecycle, campaign, and measurement workflow design
• Data, attribution, consent, and reporting requirements
• Marketing-technology process and integration planning
• Dashboard, KPI, and optimization-cadence design

Coordinate campaign strategy, audience, channel, creative, measurement, and conversion requirements around a defined commercial outcome.

Outcome: A campaign delivery plan with transparent assumptions, accountable measurement, and a learnable next step.

Typical scope

• Campaign objective, audience, and channel planning
• Creative, landing-page, and conversion requirements
• Measurement, experiment, and reporting design
• Specialist brief, coordination, and delivery governance

Media buying, paid-channel execution, and specialist campaign production are provided only through a qualified scope and do not carry a return or performance guarantee.

Plan the content system, production workflow, and distribution requirements behind an ongoing digital presence or launch.

Outcome: A practical content operating model that makes creation, approval, publication, and learning easier to govern.

Typical scope

• Editorial themes, formats, and production calendars
• Content briefing, review, approval, and governance workflows
• Social, video, and digital-asset requirements
• Distribution, measurement, and iteration planning

Specialist writing, design, social management, photography, video, and production are assembled to suit the agreed scope.

Shape the product, requirements, content, experience, data, and operational model for a customer, employee, partner, or commerce experience.

Outcome: A digital experience with a clearer delivery path, ownership model, and measure of success.

Typical scope

• Discovery, product direction, and experience requirements
• Content, commerce, privacy, data, and integration requirements
• Backlog, acceptance criteria, testing, and release planning
• Vendor, design, engineering, and launch coordination

UX/UI design, engineering, commerce configuration, and platform implementation are matched to qualified specialists where required.

Lead the discovery, requirements, governance, quality, and rollout work for internal applications, software products, and integrated services.

Outcome: A software-delivery path that keeps the operating problem, technical decisions, and release readiness connected.

Typical scope

• Business, functional, data, and integration requirements
• Product roadmap, backlog, priority, and acceptance criteria
• Engineering-vendor coordination and delivery governance
• Testing, release, adoption, and support-transition planning

ADW leads the delivery structure. Engineering, architecture, quality automation, and production operations are scoped with qualified specialists.

Clarify the processes, data flows, roles, permissions, integrations, and ownership required when systems must work together.

Outcome: An integration initiative with clearer requirements, risk controls, testing approach, and operating accountability.

Typical scope

• System, API, data-flow, and reporting discovery
• Identity, access, privacy, and control requirements
• Integration options, dependencies, and testing strategy
• Vendor coordination and cutover-readiness planning

Lead discovery, process design, partner selection, functional requirements, implementation oversight, testing, go-live, and adoption for Microsoft business platforms.

Outcome: A Microsoft platform initiative with clear requirements, controlled delivery, business ownership, and a realistic path to adoption.

Typical scope

• Current-state and future-state process analysis
• Requirements elicitation, traceability, and fit-gap analysis
• Partner and proposal review
• UAT, readiness, go-live, adoption, and stabilization planning

ADW does not sell licences or present itself as a Microsoft implementation partner. Configuration, development, licensing, and formal implementation can be delivered by a contracted Microsoft partner.

Assess collaboration, workplace, identity, information-management, migration, governance, and adoption needs around the way people work.

Outcome: A workplace-technology plan that makes adoption, governance, and operational ownership explicit.

Typical scope

• Current-state needs and collaboration assessment
• Information governance, identity, access, and adoption requirements
• Migration readiness and delivery coordination
• Copilot or AI-workplace readiness and safeguards

Tenant engineering, migration execution, advanced security configuration, and ongoing administration require verified specialist delivery capacity.

Frame security readiness, risk priorities, controls, continuity requirements, and specialist-supported protection around business operations.

Outcome: A practical, risk-based security and resilience program with an accountable next step.

Typical scope

• Security and business-risk discovery
• Data, identity, access, endpoint, email, and vendor-risk requirements
• Control, remediation, backup, and recovery planning
• Continuity, incident exercise, and decision-support design

ADW leads readiness, risk, and delivery planning. Testing, managed detection, incident response, and specialist technical implementation require qualified specialists.

Define the data, reporting, dashboard, integration, and ownership requirements behind more reliable decisions.

Outcome: Clearer accountability for information, measures, and decisions—with less manual reconciliation.

Typical scope

• Decision, KPI, and reporting needs assessment
• Data-source, data-flow, integration, and quality discovery
• Dashboard, metric, and ownership design
• Testing, reconciliation, and operating-model planning

Identify repetitive work, control points, handoffs, and exceptions before choosing an automation approach.

Outcome: A prioritized automation path with operational safeguards and clearer ownership.

Typical scope

• Workflow, exception, control, and volume analysis
• Automation opportunity, feasibility, and priority assessment
• Data, integration, privacy, and access requirements
• Pilot, acceptance, adoption, and support planning

Move from an AI idea to a focused use case, governance model, pilot, and adoption plan with human oversight intact.

Outcome: AI adoption that starts with a useful workflow, clear safeguards, and evidence about whether the work improves.

Typical scope

• AI opportunity and readiness assessment
• Use-case prioritization, feasibility, and success measures
• Data, access, privacy, security, retention, and human-oversight requirements
• Pilot scope, evaluation, operating controls, and adoption planning

ADW leads business, governance, and delivery work. Specialist prototype, integration, model, and production delivery are matched to the agreed scope.

Coordinate the quality, acceptance, risk, readiness, and decision work required before a release or go-live.

Outcome: A more defensible release decision with visible risks, accountable owners, and a practical stabilization plan.

Typical scope

• Quality strategy, test scenario, and acceptance planning
• UAT coordination, defect triage, and readiness reporting
• Cutover, communications, and go-live decision support
• Stabilization, support, and post-release learning

Create a disciplined loop for improving a product, service, site, campaign, or operating process after the first release.

Outcome: A clear way to learn from evidence, prioritize improvements, and avoid optimization by guesswork.

Typical scope

• Outcome, metric, hypothesis, and experiment design
• Customer, operational, and delivery signal review
• Backlog, priority, and improvement-cadence design
• Measurement, decision, and implementation governance

Design the service handoff, support model, ownership, reporting, asset, vendor, and improvement rhythm around a new or changing platform.

Outcome: A more controlled transition from delivery into day-to-day operations.

Typical scope

• Support model, service level, and operating-owner definition
• Service onboarding, handover, and knowledge-transfer planning
• Asset, access, vendor, and reporting coordination
• Quarterly review and improvement-cadence design

Operational monitoring, help desk, infrastructure engineering, and after-hours support are offered only when covered by a qualified delivery partner and signed scope.

Keep people, readiness, communications, training, operating ownership, and value realization connected to the delivery plan.

Outcome: A more adoptable change with visible ownership beyond the technical launch.

Typical scope

• Stakeholder, change-impact, and readiness assessment
• Communications, training, and enablement requirements
• Support, operating-ownership, and transition planning
• Benefits, adoption, and improvement-measure design