AI Consultancy

PRIMA helps organisations identify where artificial intelligence can improve recruitment, sales and digital delivery, then turn the right opportunities into practical, governed solutions.

We begin with the workflow and the business outcome, not the technology. That means understanding where time is being lost, where service is inconsistent and where better information would improve a decision before recommending an AI approach.

This service is distinct from our AI & Cyber Security Recruitment practice. That practice finds specialist people; AI Consultancy helps your organisation select, implement and adopt the right tools and workflows.

Where we help

• AI opportunity discovery and roadmap: mapping workflows, prioritising viable use cases and defining measurable outcomes, controls and implementation steps.
• AI Recruiter: improving candidate pipelines with assisted sourcing, outreach, screening, scheduling and recruitment workflow automation, while keeping people accountable for hiring decisions.
• AI Sales: supporting prospect research, qualification, outreach, follow-up and pipeline visibility so teams can spend more time on valuable conversations.
• Website and digital solution development: creating professional websites, landing pages, portals and workflow integrations that connect the customer experience with the systems behind it.
• Implementation and adoption: piloting the selected solution, integrating it into day-to-day work and helping teams use it confidently and responsibly.

Delivered with JobGen.AI

PRIMA's AI Consultancy is delivered in partnership with JobGen.AI. PRIMA brings workforce, recruitment and organisational context; JobGen.AI brings applied AI products and software delivery capability.

The partnership gives clients one pathway from discovery through to implementation. Depending on the requirement, that may involve JobGen.AI's recruiter and sales capabilities, a tailored website or a purpose-built workflow that connects existing systems.

How an engagement works

1. Discover: define the business problem, current workflow, users, data and constraints.
2. Prioritise: assess value, feasibility, risk and readiness, then agree on the first use case.
3. Pilot: configure or build a focused solution with clear success measures and human oversight.
4. Embed: support adoption, review performance and improve the solution using evidence from real use.

Responsible, useful AI

AI should make work clearer and more effective without obscuring accountability. Privacy, security, human review and the quality of source data are considered from the beginning of each engagement, not added after a tool has been selected.