Advisory services

Six areas of expertise.
One engagement standard.

Every SeasideHR engagement follows the same model: I gather full context from your organisation first, AI performs the analytical work grounded in that context and my decade of experience, and I review, curate, and deliver everything personally. Defined scope. Defined deliverables. No open-ended retainers.

01
TA operating model and process architecture

We map your current TA operating model across demand intake, approvals, sourcing, screening, assessment, offers, onboarding handoff, and analytics — then design a future-state with clear ownership, service tiers, workflows, SLAs, and data flows that your stack can support without heroics.

Operating modelProcess & workflowService deliveryData flows
8–14 weeks · Advisory + workshopsRight for: Scaling orgs, post-merger, broken intake
02
Recruiting stack and ATS / CRM selection

We design and run selection processes for ATS, recruiting CRM, and adjacent tools: from requirements and RFI/RFP through scripted demos, evaluation scorecards, reference checks, and commercial review. The goal is an interoperable stack that fits your model — not a feature-driven beauty contest.

Requirements designVendor evaluationDemo choreographyCommercial support
10–18 weeks · Advisory + facilitationRight for: ATS replacement, first CRM, stack consolidation
03
Implementation design authority and oversight

We sit between your business and your SI or vendor to act as design authority: challenging poor fit configuration, protecting business rules, aligning integrations, and making sure decisions on workflows, permissions, automation, and data are intentional — not just how the tool works out of the box.

Design authorityConfiguration reviewIntegration & dataRisk control
Duration of implementation · Embedded advisoryRight for: Active ATS/HCM implementations
04
TA stack optimisation and implementation recovery

When your ATS or recruiting tools are live but underperforming, we diagnose where the friction sits: process, configuration, integrations, data, governance, or adoption. We then prioritise remediation and quick wins so you can stabilise, prove value, and decide with evidence whether to fix or replace.

Health checkAdoption recoveryWorkflow remediationReporting integrity
6–10 weeks · Diagnostic + advisoryRight for: Post go-live, low adoption, data problems
05
AI in hiring and automation governance

We help you decide where automation and AI add value in sourcing, screening, scheduling, and decision support — and where human judgement must stay firmly in the loop. We co-design policies, decision flows, oversight routines, and documentation that meet emerging expectations around transparency, bias controls, and accountability.

AI governanceHuman-in-the-loopBias & transparencyUse-case design
6–10 weeks · Advisory + policy designRight for: AI features being introduced or in use
06
Adoption, enablement, and change execution

We design adoption plans, role-specific enablement, and governance routines so that recruiters, coordinators, HR, and hiring managers actually work through the new model and tools. That includes playbooks, decision aids, training, office hours, and KPIs focused on behaviour and utilisation — not just go-live ceremonies.

Change & enablementRole-based trainingGovernance rhythmsAdoption metrics
8–12 weeks · Advisory + enablement designRight for: Post go-live, change-heavy programmes
How we work

Three engagement formats,
one delivery model.

Every engagement starts with me understanding your situation fully — your operating model, your stack, your team, your constraints. AI then performs the analytical work, grounded in that context. I review, curate, and deliver. You always know exactly what was produced by AI and what was produced by human judgment.

Not sure which engagement fits your situation? A 30-minute scoping call will tell us both.

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