VOXANT GATHERS THE EVIDENCE.
360 Strategy turns it into action.

Analysing raw data within your organisation is only the beginning. Our neural-mesh technology identifies patterns, strategises response, and deploys high-fidelity agents at an industrial scale.

troubleshoot

"Voxant was built to solve a discovery problem Mark Evans kept seeing in live engagements: consultants were expected to understand how a whole organisation worked from a handful of interviews with senior voices."

For AI work in particular, that leaves too much hidden. This blind spot creates a gap between perceived operational reality and the actual data flow.

Voxant exists to widen the evidence base—systematically closing the discovery gap—before 360 Strategy forms the diagnosis.

record_voice_over Concrete Implementation

Voice Agents that
Deploy at Scale

Our AI voice agents interview a cross-section of your entire organisation — every department, every level — at each employee’s convenience.

Total Coverage Asynchronous Bias-Free
Signal Acquisition Protocol Active
Protocol Alpha

Voxant: Discovery

Identifying gaps at scale. Aggregating multidimensional organisational data beyond the executive suite.

  • data_thresholdingNeural Evidence
  • hubNon-Linear Mapping
Protocol Omega

360 Strategy: Diagnosis

Turning evidence into a neural roadmap. Engineering high-impact AI roadmaps and structural changes.

  • precision_manufacturingKinetic Action
  • rocket_launchExecution Deployment

Ready for Absolute Clarity?

Begin your discovery process today and eliminate the hidden gaps in your organisation's AI readiness.

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The 360 Strategy AI Readiness Process: Driving SME Success 

Our proven four-phase AI Readiness methodology delivers tailored, high-impact solutions for SMEs, ensuring measurable results and sustainable growth.

{ 1 }

CHANGE alignment & stakeholder Commit

Align intent, ownership, and expectations before anyone talks tools.

  • Confirm the best business outcome and the constraint it must improve: margin, time, quality, and risk. Where's the bleed

  • Agree on what is in scope and what stays out.

  • Set owners and what "success" will look like in measurable terms.

  • Put basic guardrails for data, security, and acceptable use. 

{ 2 }

Readiness diagnoses and use case selection

Choose the few pilots that are both valuable and feasible with your reality.

  • Map the workflow friction that is creating delay, rework, or reporting churn.

  • Check what data exists, where it sits, and what is missing.

  • Rank use cases by value, feasibility, and risk.

  • Select the top 1 to 3 candidates worth testing first. 

{ 3 }

Confirm AI readiness and reduce risk

  • Produce the pilot brief: scope, timeline, roles and support needed.

  • Agree on the scale or stop criteria before any build starts.

  • Confirm delivery route: your internal team, or our support via AI Solutions

  • Run the Go or NO -GO decicion session and lock in the next steps

  • Define success measures and a baseline so impact is provable.

  • Identify workflow and role changes required for the pilot to work.

  • Confirm the minimum data access and quality needed.

  • Capture risks and mitigations in plain language, including governance. 

{ 4 }

​Pilot preparation pack and go/no-go decision

Turn the chosen use case into a controlled pilot plan that a team can run.

Ready to move your business forward? 

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