Our Services

Making your existing systems work harder. Embedding AI where it creates measurable operational impact.

We turn disconnected tools, informal AI use and manual work into coordinated recruitment operations.

Our Journey Together

A structured route from diagnosis to operational control

We don't replace your systems. We make them work harder. RecIQ works inside your existing ATS, CRM, and communication infrastructure to design automations, streamline workflows, and embed AI-enabled processes that reduce non-billable time and increase consultant output.

Stage 01

AI Capability Review

Establish the operational baseline before changing anything.

A diagnostic review of your current digital maturity, systems usage, and readiness for AI and automation. We identify exactly where time and money are being lost, where systems are underutilised, and where structured AI adoption will have the greatest impact.

You receive a prioritised view of the workflows, ownership and next actions that will create the most useful operational movement.

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Stage 02

Leadership & Governance Briefing

Give leaders the framework to sponsor change with confidence.

We align board and senior leaders around the operational outcomes, decision rights and controls required for useful AI adoption. The briefing translates AI Act compliance, data handling responsibilities and business priorities into a practical leadership agenda.

It introduces governance frameworks aligned to ISO/IEC 42001, so accountability and risk management are built in from the start rather than added after deployment.

Stage 03

Priority Applications

Prove value where it matters first.

We identify the highest-value use cases across delivery, business development and candidate engagement, then sequence them around measurable operational outcomes.

These are quick wins inside your existing tech stack — not new software purchases. Each application is selected because it reduces friction, strengthens consistency or frees consultant time for revenue activity.

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Stage 04

Workflow & Automation Build

Turn good intentions into repeatable working practice.

We map and redesign the workflows that determine consultant capacity, system use and service consistency. The build focuses on ATS/CRM automation, AI-supported communication and clear handoffs across teams.

The result is less non-billable work, less reliance on individual workarounds and more time for delivery, client development and candidate engagement.

Stage 05

AI Literacy for All

Role-specific practitioner enablement, not generic training.

AI adoption becomes operational only when people can use the agreed tools and workflows with confidence. Our practitioner enablement is delivered by role — for leaders, managers, consultants and operational teams — using the actual systems and scenarios they work with.

Teams learn how to apply AI safely, consistently and accountably within recruitment delivery, business development, candidate engagement, reporting and management routines.

  • Role-specific delivery for leadership, management and consultant teams
  • Practical work inside your established workflows
  • Clear guardrails for responsible AI use
  • Shared standards that make adoption repeatable
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Stage 06

AI Management Systems

Maintain control as AI becomes part of the operating model.

We help agencies establish policies, governance structures, monitoring and review routines aligned to ISO/IEC 42001. This provides an accountable foundation for data handling, risk management and continual improvement.

It also creates the evidence enterprise clients and tender evaluators need to see: that AI use is controlled, transparent and mature enough for serious procurement environments.

  • ISO/IEC 42001-aligned management system design
  • AI roles, policies and review cadence
  • Data, compliance and risk controls
  • enterprise tender readiness evidence
The Operational Challenges

The barriers to measurable AI impact are well understood

Consultants are losing too much time to administration

Manual updates, follow-ups and repetitive coordination restrict revenue-generating time. We redesign the work around automation and clear operating rhythms.

Existing systems are underutilised

Most agencies have capable ATS, CRM and communication platforms but lack the process design and integration to unlock their value.

AI is informal, not operational

Individual experimentation cannot create consistent output. We turn informal use into agreed workflows, standards and accountable habits.

There is no clear automation strategy

Without a prioritised sequence, teams buy tools or start pilots without solving the right problems. We focus activity where it has measurable impact.

Leaders cannot standardise adoption

Change stalls when roles, ownership and management routines are unclear. We build the operating model that makes adoption stick across the agency.

Governance is missing

AI use without policy, data controls or oversight creates risk. We provide a proportionate framework that protects the agency and strengthens confidence.

Start with an AI Capability Review

A structured diagnostic that identifies where your agency can recover time, standardise adoption and make existing systems work harder.
Begin Your Review →