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AI Engineering

Production AI delivered with confidence.

We orchestrate strategy, platform, and operating model so regulated enterprises can release accountable AI products on repeat.

AI consulting contents

Jump to the detailed chapters covering AI strategy, operations, and adoption. Pick a topic to move straight to the playbooks we implement with your teams.

  1. 01Pioneering AI strategies
  2. 02AI application scenarios
  3. 03Is your organisation ready?
  4. 04Data science for value creation
  5. 05GenAI & Conversational AI
  • 35+
    Programmes mobilised

    Data, AI, and cloud transformations launched across regulated finance, healthcare, energy, and public sector.

  • < 90 days
    Time to first increment

    Average runway from discovery to a production-ready pilot co-owned with business stakeholders.

  • 60+
    Teams enabled

    Product, operations, and data squads trained on DAQ playbooks every quarter.

01

Pioneering AI strategies

Realise measurable gains in time, cost, and experience. DAQ Consulting shapes AI roadmaps that are grounded in operating realities—so leaders invest in what launches and lasts.

Strategic foundations

  • Executive sponsors align on measurable outcomes and risk posture.
  • Operating rhythms, regulations, and customer journeys mapped into a launch blueprint.
  • Scenario portfolio prioritised for defensible value and rapid validation.

Enterprise guardrails

  • Policy frameworks spanning data access, privacy, and compliance.
  • Responsible AI controls embedded across discovery to deployment.
  • Human-in-the-loop checkpoints defined for high-stakes workflows.

Change mobilisation

  • Funding models aligned to business outcomes and adoption milestones.
  • Enablement cadences upskilling leadership and delivery teams together.
  • Communication plans that build trust and participation enterprise-wide.

Focus: align sponsors, guardrails, and funding around a measurable launch blueprint.

Outcome: leaders gain the conviction to invest in AI programmes that launch and scale responsibly.

02

AI application scenarios

From front office orchestration to industrial operations, we activate use cases that prove value quickly while setting a foundation for scale.

Sales

  • Predictive scoring that prioritises the next best opportunity and flags churn risk early.
  • Dynamic pricing guidance tuned to propensity models and inventory positions.
  • Revenue intelligence copilots that surface playbooks inside CRM workflows.

Marketing

  • GenAI-powered content assembly that keeps brand guardrails intact across channels.
  • Always-on customer journey analytics combining web, product, and campaign signals.
  • Audience segmentation that recalibrates on fresh data without manual lists.

Production

  • Predictive maintenance models built on telemetry, inspections, and OT data fabric.
  • Quality inspection with vision AI that detects anomalies before they hit throughput.
  • Worker augmentation via mixed-reality and conversational guidance at the line.

People & Culture

  • Talent intelligence to match internal mobility, upskilling, and external hiring needs.
  • Onboarding copilots that tailor learning paths by role, tenure, and competency.
  • Policy-aligned assistants that answer benefits and compliance queries instantly.

Focus: prioritise AI scenarios that prove value quickly while wiring in governance.

Outcome: product, operations, and customer teams rally behind a roadmap rooted in measurable wins.

03

Is your organisation ready for the AI moment?

Scaling AI is a longitudinal journey. DAQ Consulting coaches leaders through the four phases that embed intelligent operations into the corporate DNA.

Phase 1

Kick-off toward AI

Vision framing, value hypothesis design, and fast-read assessments reveal where AI will earn trust first.

Phase 2

Targeted experimentation

Pilot sprints validate models, policies, and change narratives with a cross-functional steering group.

Phase 3

Enterprise enablement

Operating models expand to cover platform reliability, risk oversight, and adoption rituals across business units.

Phase 4

AI in the corporate DNA

AI strategy becomes continuous. Funding, skills, and measurement loops keep pace with new regulatory and market signals.

Focus: mature the operating model from experimentation to governed scale.

Outcome: every phase builds enterprise muscle—policy, telemetry, and empowered teams.

04

Data science: optimising products, services, and processes

DAQ Consulting operationalises data science so that every release sharpens competitive advantage, protects revenue, and uncovers new customer value.

Production accelerators

  • Reusable data quality, feature engineering, and telemetry kits ready for your platforms.
  • Lifecycle automation links experimentation with deployment to keep releases audit-ready.

Outcome-led roadmaps

  • Tie product KPIs to measurable increments and release cadences that sustain velocity.
  • Prioritisation frameworks surface quick wins while funding long-term bets with evidence.

Federated governance

  • Shared guardrails align product, risk, and compliance on every launch.
  • Playbooks for stewardship, lineage, and adoption keep teams accountable.

Focus: connect experimentation with production so insights land inside processes.

Outcome: data science outputs evolve into revenue protection, cost savings, and new services.

05

GenAI & Conversational AI: the human-machine interface

Intelligent dialogue systems and generative experiences are reshaping how customers and colleagues interact with your services. We ensure they do so safely and productively.

GenAI product studios

  • Cross-disciplinary pods co-design experiences with your teams from day one.
  • Retrieval pipelines and guardrails operationalised so launches stay safe and fast.

Conversational ecosystems

  • Voice and chat interfaces infused with workflow automations and knowledge grounding.
  • Human fallbacks, policy routing, and telemetry ensure trust in every interaction.

Responsible AI control tower

  • Policy codification, content moderation, and continuous monitoring built into your stack.
  • Joint operating cadences keep compliance, risk, and product aligned as regulations shift.

Focus: combine generative creativity with safeguards, observability, and human fallback.

Outcome: conversational experiences delight users while meeting security and compliance standards.

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