Four service lines · one competence center
We build them, run them, and you own them.
Four independent service lines. Engage one on its own, or combine them: each stands alone, together they compound. We build the agents and run them under governance; you own the outcome.
The four lines
Four lines. Engage one, or all.
Four service lines. Engage any one on its own, or combine them, they compound, but none depends on the others.
Where to start depends on where you are: a clarity gap, a capacity gap, a delivery gap, or a competence gap. Each line addresses a different one.
Where to start
Match your gap to a line.
Together, the four lines cover the full lifecycle: assess, build, govern, deploy, optimize, train. Buy the one that closes your gap; add the others as you scale.
Agentic Advisory
Enterprises don't fail at agents because the technology doesn't work, they fail because governance, security posture and compliance readiness weren't addressed before the first deployment. Advisory establishes those foundations and produces a roadmap you can act on fast, one your risk committee can approve.
Why it pays
Know where to accelerate first, a roadmap you can act on, with the economic case and the go/no-go attached.
What's included
Maturity & readiness assessment
Where agents create genuine value, where the data and governance prerequisites are met, and where they don't yet belong.
Governance & security posture review
Current controls mapped against the OWASP Agentic Security Initiative and EU AI Act high-risk classification criteria.
Compliance readiness analysis
Regulatory obligations translated into executable controls, the four verdicts scoped to your sector's rulebook.
Build-vs-buy advisory
Honest make / buy / partner / open-source assessment per stack layer, with substitutability and exit paths evaluated upfront.
Deployment roadmap
Phased plan with measurable thresholds, not milestones, €/unit targets, ms/SLA bounds, quality ceilings, autonomy rungs.
Third-party criticality framing
We are ourselves a third party under your regulators' rules, designed to minimise our own criticality: substitutability, escrow, no lock-in.
How we prove it
≥1 auditable metric / process
Every outcome is expressed as a number you can audit, the standard we hold our own work to before we hold yours.
Shadow-mode on the hard risk
Compliance embedded from the first proof-of-concept; horizontality is a design property, built into the architecture, carried across every regulated domain.
Economic case, budget-holder ready
We build the decision-quality, throughput and avoided-loss case that gets past the CISO to the budget holder.
What you walk away with
- Maturity & readiness scorecard
- Governance / security gap map
- Compliance verdict scoping
- Build-vs-buy matrix
- Phased deployment roadmap
Deployed Specialists
The forward-deployed model is table stakes now. The difference is seniority, composition and the engineering moat underneath. Every engagement pairs a forward-deployed process analyst with an AI specialist, both senior, both embedded, both accountable for production outcomes: a governed agent running on your real process.
Why it pays
Accelerate delivery now, senior throughput and expertise into your org, without waiting on a permanent hire.
What's included
Process analyst + AI specialist pairing
One owns the business workflow, one owns the agent architecture, together they close the gap between what the business needs and what the system does.
A cross-functional team, accountable by outcome
You engage a cross-functional team against a defined outcome, measured by the result, with the full team committed to it.
Embedded in your environment
Inside your systems, under your security and compliance controls, on your real data, embedded where the actual process runs.
Senior-only staffing
No junior profiles hidden behind a partner. The people on-site are the people accountable for the outcome.
Knowledge transfer by design
Explicit capability milestones for your team in the contract, we aim to make ourselves progressively less necessary.
Continuous optimization, side-by-side
Agents are probabilistic and models change; our specialists stay engaged post-deployment to monitor, evaluate and adapt.
How we prove it
Production from the start
The engagement closes when a governed agent runs against your real process, measured against an auditable baseline.
Small, focused, accountable
The fractional model avoids the coordination overhead and dilution risk of large consulting engagements.
Transfer tracked as a milestone
Durable in-house competence is a stated, measured outcome, tracked as a milestone and contracted up front.
What you walk away with
- Embedded analyst + AI specialist pair
- Process map on your real workflow
- Governed agent in production
- Audited baseline vs. outcome
- Capability-transfer milestones
Agentification & Autonomous Agents
The core service line: take a real business process and put a governed agent, or a coordinated system of agents, on it, from design through continuous production operation. Every agent runs under VessterOS: graduated autonomy, compliance-as-code and security architecture from the first line of code.
Why it pays
The acceleration itself, a high-consequence process running at machine speed and audit-ready, with you owning the result and us owning the build.
Decision · credit.approve
What's included
Agents earn autonomy, not handed it
Graduated autonomy L0–L4: every process starts in Shadow Mode and climbs only through measured thresholds. Consequential decisions never start at the top.
Hand off cleanly instead of crashing
Handoff-and-resume: off the expected path, the agent delegates the exception to a human and resumes natively. The differentiator between production and pilots.
Systems that plan and coordinate
Supervisor/worker and planner/executor architectures; typed, provenance-carrying messaging; durable workflow IDs, checkpoints and an exception channel.
Never lose their place
Durable execution: every step is journaled, so after any interruption deterministic replay resumes exactly where it stopped.
Your data stays where the law requires
Provider-agnostic, deploy-anywhere: Anthropic, Mistral, open-source or client-hosted; cloud, on-prem, hybrid or air-gapped. Sensitivity-based routing keeps PII on-prem.
Keep pace as models change
Continuous optimization: dedicated monitoring, eval harnesses, golden-dataset regression tests and drift detection post-deployment.
Autonomy is earned — L0 to L4
Every process starts in Shadow Mode and climbs the ladder only through measured performance. Consequential decisions never start at the top.
- L0ShadowL0Agent observes
Runs alongside humans, proposing but never acting. Baseline evals set the trust threshold.
Drafts the credit memo; a human writes the one that ships.
- L1SupervisedL1Human-in-the-loop
Acts only after a human approves each step. Humans remain the decision point.
Prepares the payment; a human clicks approve.
- L2GuidedL2Human-on-the-loop
Acts autonomously; humans monitor and handle exceptions. Handoff-and-resume keeps state intact.
Onboards clients end-to-end; humans review flagged edge cases.
- L3FullL3Autonomous
Runs end-to-end within a bounded, documented blast radius, monitored by evals and drift detection.
Reconciles ledgers overnight; consequential calls still need sign-off.
How we prove it
We close the pilot-to-production gap
It's an engineering problem, durable execution and handoff-and-resume are the two capabilities that take a system from sandbox to production.
Governance that travels
Horizontality is a design property: the OS and agent architecture are built around properties of regulated processes, not one sector extrapolated.
Portable by contract
Every deployment ships a vitality table and exit plan, with ≥3 portable gateway options documented before go-live.
What you walk away with
- Governed agent(s) in production
- Graduated-autonomy design (L0–L4)
- Handoff-and-resume exception flow
- Eval harness + drift monitoring
- Vitality table + exit plan
Training & Enablement
Capability transfer is a service line in its own right, a first-class deliverable. The Vesster Academy is built on one principle: the competence stays in-house. Your teams graduate from consumers of AI to architects of governed agent systems, and your roadmap keeps moving.
Why it pays
Keep the momentum after we leave, your team owns the pace, and you meet EU AI Act Art.4 literacy with evidence.
What's included
Role-based curriculum design
Separate tracks for executive sponsors (Art.4 literacy, risk framing), operational users (working safely, exception handling) and technical builders (architecture, evals, security patterns).
EU AI Act Article 4 literacy
Ensuring personnel who interact with or deploy AI have sufficient literacy for their role, a legal obligation for high-risk operators.
Governance & security foundations
Graduates internalise graduated autonomy, the OWASP ASI top-10 and the four compliance verdicts, embedded as operational practice, ready to apply from day one.
Hands-on agent-building modules
Participants build and evaluate a governed agent under supervision, using the same tools and frameworks we use in production.
In-house eval harness training
Teams learn to author golden datasets, run trajectory evaluations and interpret drift signals, the integration tests of the LLM world.
Completion tracking & certification
Measurable milestones tied to capability gained. We track the capability delta, the outcome is auditable, and every cohort leaves with evidence of what they can do.
How we prove it
A legal obligation, met with evidence
AI literacy is required under EU AI Act Art.4 for high-risk operators, our programmes satisfy it with structured evidence a regulator can inspect.
Capability transfer is the output
Every contract includes explicit competency milestones for graduates, the outcome is auditable and tracked, delivered against what the business actually needs.
10 years shaping the curriculum
Built from what actually breaks in production in regulated environments, grounded in 10 years of field experience, not theory.
What you walk away with
- Role-based curriculum (3 tracks)
- Art.4 literacy evidence pack
- Hands-on agent-build capstone
- In-house eval-harness playbook
- Certification + capability delta
Two lines people mix up
Who owns the agents: you, or us?
Deployed Specialists: your people to direct.
We embed senior specialists inside your team. They work on your processes, under your steer, and hand the work over as your own capability. You direct them; you keep what they build.
Agentification: we own and run the agents.
We design, build, deploy and operate the agents as a service, under VessterOS governance. You own the outcome and the asset; we're accountable for running the build in production.
Either way, you own what's built. The difference is who holds the steering wheel during the engagement.
Before you ask
The questions we hear first.
Straight answers — the same honest read your risk committee would get, before anyone talks scope.
See the full trust model01Why you, and not a Big-4 firm or an automation shop?
A Big-4 firm brings scale and slideware; an automation shop brings a tool and a script. Neither owns the thing that actually breaks in a regulated enterprise: governance built for probabilistic agents, and accountability for the outcome in production. We're a boutique of senior specialists who build the agents, run them under governance, and hand you an asset you own, with proprietary IP (Verify · Sentinel · Cortex), not a blank page.
02How fast do we see value?
A Foundation runs 6–8 weeks and ends at a go/no-go gate: one high-stakes process, a governed agent in production, measured against an auditable baseline. If it doesn't clear the trust threshold, we tell you, no scale, no theatre. You decide to scale on evidence, not on a promise.
03How is this different from our IT governance?
Traditional IT governance assumes deterministic software: same input, same output, change-controlled releases. Agents are probabilistic, drift with every model update, and act on live context. VessterOS is governance built for agents (graduated autonomy, evals as the trust threshold, drift monitoring, audit trails, compliance-as-executable-policy), sitting alongside your IT governance, not replacing it.
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