Proof & Method

Proven for a decade. Verifiable, not asserted.

The proof a skeptic can verify: 10 years of AI in production, analyst recognition from Gartner, Forrester and IDC, ISO certifications, named frameworks and regulators, and the JOYN Group behind us. The measurable-artifact metrics follow as the yardstick every engagement is held to.

01 / 04Verifiable proof

Proof, not a logo wall

The proof a skeptic can verify

As a regulated vendor we often cannot publish client numbers or logos, so we lead with proof that doesn't depend on our word.

10 years in production

AI running in banking-grade, regulated environments, before "agentic" was a word. A track record, not a pitch.

Gartner · Forrester · IDC

Recognized by the three analysts who track this market. Third-party, on the record.

ISO 27001 / 27017 / 27018

Certified information-security, cloud-security and cloud-privacy controls, audited, not asserted.

EU AI Act · ISO 42001

Aligned to the frameworks regulators actually name, governance built for the rulebook you answer to.

JOYN Group scale

500+ people, €20M+ revenue, 10 countries, group trust across banking and insurance, framed honestly.

Verify · Sentinel · Cortex

Proprietary agentic IP at the center of every engagement, the accelerator that compresses 18 months into weeks.

Trusted across the JOYN Group, 500+ people, €20M+ revenue, 10 countries. Across the group, banking and insurance leaders trust our companies with regulated, audited, mission-critical document processing and AI workloads. That operating history is the foundation Vesster is built on.

02 / 04The yardstick

The measurable-artifact discipline

The numbers we commit to measure

Beyond the verifiable heritage, this is the yardstick every engagement is benchmarked against, the numbers we commit to measure, so an outcome is auditable rather than asserted.

€/unit

the benchmark, not a claim

Auditable cost-per-transaction: the primary commercial metric every engagement is benchmarked against. A vertical pilot doesn't prove the number; it establishes the baseline.

ms/SLA

the benchmark, not a claim

Latency under SLA: agent response time measured against the committed service level, tracked per process step via OpenTelemetry GenAI traces.

Δ quality

the benchmark, not a claim

Quality-degradation bound: maximum acceptable accuracy delta from a quantized or distilled model vs. the full-precision baseline, measured by subpopulation to surface asymmetric degradation.

% concordance

the benchmark, not a claim

Agent-vs-human concordance: rate at which agent decisions match a calibrated human reviewer on the same case set, the primary trust metric before advancing an autonomy rung.

03 / 04Engagements

Engagements, anonymised

What an engagement looks like

Outcomesabstract, navy + one orange

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Agentification · anonymised

Document-intensive regulated process

Context: A large enterprise with a high-volume, document-heavy intake process needed its classification and extraction stage assessed and agentified.
Approach: Started in Shadow Mode alongside the human team for four weeks to establish a concordance baseline, then advanced to Supervised Autonomy, human-approved actions, with a complete hash-chained audit trail per decision.
Outcome: Reduced manual review time per case at the agreed threshold. Specific figures are commercially sensitive and not cleared for publication; the architecture and autonomy progression are as described.

Governance · anonymised

Compliance-layer integration

Context: A financial-services client required every agent action on regulated data to emit machine-readable compliance verdicts before committing.
Approach: Implemented a policy-as-code layer (OPA/Rego) with the four-verdict schema, writing to an append-only evidence store before each decision and enforcing fail-closed behaviour if the store was unavailable.
Outcome: The policy bundle was approved by the client's Compliance function before go-live and is versioned alongside the codebase. Process and institution withheld pending publication consent.

Training · in-house builders

Capability transfer

Context: Following an agentification engagement, the client's technical team needed to own the systems in-house, aligned to their EU AI Act Art.4 deployment role.
Approach: A structured enablement programme: agent architecture fundamentals, evaluation-harness operation and OWASP-ASI-aligned security-pattern literacy, closing with a supervised capstone.
Outcome: Graduates built and evaluated a governed agent under supervision. Named client withheld; programme structure and outcomes available under NDA.

04 / 04Honest by design

A note on proof

Vesster launched in 2026. Named client work is in progress; the case material above is anonymised with client consent. As a regulated vendor we often cannot publish client numbers or logos, so our front-line proof is the verifiable heritage, certifications and frameworks above, and the metrics we commit to measure. We hold our own claims to the same standard: every differential must be expressible as a number a client can audit.

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