VirtuDesk VirtuAgent · AI agents under control

Build AI agents that do real work safely

VirtuAgent turns a defined business process into a governed AI workflow. The agent uses approved knowledge, works in the systems you already use and is measured against a real business outcome.

Start with one high-value workflow. Prove it. Scale what works.
VirtuAgent · operating layercontrolled
VirtuAgentreason · act · escalate
Approved knowledgePolicies · SOPs · cases · contracts
Business systemsERP · CRM · ticketing · email
Human controlApprovals · questions · exception owners
ObservabilityTraces · quality · cost · versions
least privilegehuman approvalfull tracemodel choice
UnderstandApproved knowledge + live context
DecidePolicies + reasoning + evidence
ActERP · CRM · email · documents
AskHuman approval at risk points
ImproveFeedback + evaluation + versions

VirtuAgent is not another generic chatbot. It is a tailored agent operating layer that combines AI reasoning, workflow orchestration, system integrations and human control around the way your business actually works.

1governed operating layer
5autonomy levels from observe to act
ERP+your current systems stay in place
Everyaction logged and assigned
Humanapproval at defined risk points
(00)  Why agents stall

Most AI pilots can talk. Few can complete the work safely

The model is only one part of an enterprise agent. Real work crosses data sources, permissions, business rules, systems and exceptions. Without that operating layer, a promising demo becomes another disconnected tool.

A

Outcome before technology

Every agent starts with a defined task, owner, KPI and stop condition. It does not start with a vague request to “use AI”.

B

Connected to real work

The agent uses approved knowledge and works through your existing applications instead of creating another data island.

C

Control before autonomy

Permissions, limits, approval gates and escalation paths are designed before execution rights are granted.

VirtuAgent · live operations
Illustrative workspace
Active agents6
Tasks today184
Human approvals12
Open exceptions7
AgentBusiness objectiveCurrent stepAutonomyStatus
AP Exception AgentResolve invoice mismatchesWaiting for buyerAct with approvalNeeds decision
Customer Service AgentClassify and route requestsUpdating CRMWithin policyRunning
Close Evidence AgentCollect month-end supportChecking repositoryRecommendRunning
Sales Research AgentPrepare account briefCompletedDraftReady
(01)  Discover & design

Start with one measurable workflow instead of an open-ended AI experiment

The fastest route to value is a narrow but meaningful process with clear inputs, recurring decisions, accessible systems and a human owner. We map the work before we select the agent architecture.

01

Choose the business outcome

Define the cycle time, backlog, quality, conversion, control or capacity result the agent should improve.

02

Map the actual work

Capture triggers, inputs, decisions, systems, handoffs, exception paths and the expertise of your best operators.

03

Set the autonomy level

Decide what the agent may read, draft, recommend, execute and when it must stop or ask a human.

04

Define the proof

Set a baseline, target, test cases, acceptance criteria and accountable owner before the build starts.

Agent brief · example

Supplier onboarding agent

Illustrative workspace
Handle supplier requests from shared inbox to a validated ERP draft.
New request in supplier inbox
Email · forms · policy · vendor master
Mailbox · document store · ERP
Bank details · duplicate vendor · sanctions alert
Complete and valid supplier draft with source evidence and execution trace.
Act with approval for sensitive master-data changes
(02)  Connect & ground

Give the agent the right context without unrestricted access

Reliable agents need current facts, approved sources and narrowly scoped tools. VirtuAgent connects knowledge and systems through a controlled layer, so the agent can complete work without receiving blanket access.

01

Approved knowledge grounding

Policies, procedures, contracts, product data and prior cases are indexed with source references and access rules.

02

Live system context

The agent reads current records, statuses and transaction context from ERP, CRM, ticketing and other systems.

03

Approved tool execution

It creates drafts, updates fields, generates documents and triggers workflows only through permitted interfaces.

04

Legacy-system reach

Where no API exists, controlled browser execution can bridge the gap without replacing the underlying application.

05

Identity & least privilege

Each agent receives a defined identity, role, data scope and allowlist for the tools it can use.

06

Memory by design

Session, case or long-term memory is enabled only where useful, permitted and supported by a clear retention rule.

Trigger & caseEmail, event, task, schedule or user request
VirtuAgentGoal, context, reasoning, workflow state and policy checks
Approved toolsERP, CRM, documents, APIs, email and controlled browser actions
Human ownerApprove, answer, correct, reject or take over the case
Knowledge & sources
Identity & permissions
Policies & limits
Trace & evaluation
(03)  Govern autonomy

Autonomy is earned, not assumed

Not every task should be autonomous. VirtuAgent lets you set different operating boundaries for each action, data class and business risk. It then routes uncertainty and exceptions to a named person.

LEVEL 0

Observe

Classify, extract, summarize and detect without changing a system.

LEVEL 1

Draft

Prepare a response, record, document or action for human review.

LEVEL 2

Recommend

Propose a decision with evidence, confidence and alternatives.

LEVEL 3

Act with approval

Execute only after an authorized person approves the proposed action.

LEVEL 4

Act within policy

Execute bounded actions and escalate anything outside the defined policy.

1
Role-based permissionsLimit each agent to the users, records, fields and actions required for its assigned objective.
2
Policies and thresholdsTranslate business rules, monetary limits, confidence requirements and prohibited actions into enforceable checks.
3
Human approval gatesRequire explicit sign-off for sensitive data, high-value transactions, external commitments or low-confidence cases.
4
Data protection and stop controlsApply data scopes, redaction, retention rules, a kill switch and a named owner for every production agent.
Policy engine · decision view
Illustrative workspace
PolicyRuleOutcome
Supplier bank detailsNever update without independent approvalBlock + assign
Customer discountUp to 5% within approved segmentExecute
External emailSensitive category detectedDraft only
ERP postingConfidence below 95% or mismatch existsHuman review
(04)  Operate & improve

Know what every agent did, why it did it and what it cost

Production agents need an operating discipline, not just a prompt. VirtuAgent records the execution path, evaluates quality, tracks cost and latency, assigns exceptions and keeps every change versioned.

01

Full execution trace

Review the trigger, context, decision path, supporting evidence, tool calls, outputs and human interventions for each run.

02

Quality evaluation

Test agents against representative cases and business acceptance criteria before and after every material change.

03

Cost and performance

Track model usage, latency, throughput, retry rates, failure modes and the cost per completed business outcome.

04

Exception ownership

Every blocked or uncertain case lands in a human queue with context, evidence and a clear next action.

05

Version control

Prompts, tools, policies, knowledge sources and models are versioned so changes remain reviewable and reversible.

06

Continuous improvement

Feedback from reviewers and real outcomes is converted into test cases, rule refinements and controlled releases.

Delivery-date requestAgent escalated a mismatch instead of sending an incorrect promise
Run VA-260714-0184
Customer and order identifiedMatched the sender and order reference to the CRM and ERP record.
Current status retrievedRead the latest confirmed shipment date and open warehouse exception.
Policy checkedApplied the customer communication and delivery-commitment rules.
!
Conflict detectedRequested date differed from the confirmed ERP date.
Human decision requestedPrepared a response and assigned the case to the account owner.
Runs today184across 6 agents
Policy blocks7all assigned
Human review6.5%illustrative rate
RunAgentOutcomeState
VA-0184Customer ServiceEscalated with draftReview
VA-0183Sales ResearchAccount brief createdComplete
VA-0182Close EvidenceThree files linkedComplete
VA-0181AP ExceptionPrice variance assignedOpen
(05)  Use cases

Agents for work that crosses inboxes, documents and systems

The best first agents combine high volume, repeatable judgment, fragmented information and a measurable outcome. VirtuAgent is configured around the process rather than limited to one department.

FI

Finance & accounting

Move repetitive analysis and evidence collection out of the team’s queue while retaining financial control.

Controlled finance work
  • Reconcile transactions and investigate exceptions
  • Prepare journal drafts with supporting evidence
  • Collect close documentation and chase missing items
CX

Customer operations

Understand requests, gather context and progress cases across service systems without losing ownership.

Faster case handling
  • Classify and route inbound requests
  • Draft grounded replies and update case records
  • Escalate complaints, risk or policy exceptions
SO

Sales operations

Give commercial teams prepared context and consistent follow-through without adding CRM administration.

Commercial capacity
  • Research accounts and prepare meeting briefs
  • Qualify inbound leads against agreed criteria
  • Draft proposals and keep CRM records current
PR

Procurement & supply chain

Coordinate information across suppliers, orders and internal owners while surfacing exceptions early.

Cross-system coordination
  • Compare offers and prepare sourcing summaries
  • Chase confirmations and delivery updates
  • Investigate order, receipt and invoice mismatches
HR

HR & people operations

Handle recurring employee requests and onboarding coordination using approved policies and human gates.

Employee service
  • Answer policy questions with source references
  • Collect and validate onboarding documents
  • Coordinate tasks across HR, IT and managers
BO

Shared services & back office

Turn document-heavy, email-driven casework into a controlled queue with clear exceptions and ownership.

Operational throughput
  • Intake, classify and validate documents
  • Prepare reports and structured case summaries
  • Update systems and assign unresolved exceptions
(06)  What’s inside

Built on your current stack and operated as one product

VirtuAgent brings together the components required to move from an AI demo to a production workflow, while keeping the commercial focus on your result rather than the underlying tools.

Orchestration

Agent workflow engine

Coordinates goals, steps, tools, state, retries, exceptions and handoffs across a complete business case.

Knowledge

Approved context layer

Connects controlled sources, current records and source references without copying everything into a new silo.

Integration

System connectors

Works with APIs, databases, email, documents and controlled browser execution for applications without APIs.

Control

Guardrails & permissions

Applies identity, role scopes, tool allowlists, thresholds, approvals, prohibited actions and stop conditions.

People

Human task inbox

Routes approvals, questions and exceptions to the right owner with evidence and a recommended next step.

Operations

Evaluation & observability

Tracks traces, quality, cost, latency, policy blocks, failures, feedback and versions for every production agent.

Choice

Model-flexible design

Selects models according to task, risk, language, latency and cost instead of hard-wiring the process to one provider.

Delivery

VirtuDesk implementation

We map, build, integrate and launch the agent. We can also support its monitoring and continuous improvement after go-live.

(07)  Delivery model

From one use case to a governed agent portfolio

VirtuDesk leads the process mapping, design, integration, controls and go-live. We can then support your team in operating, monitoring and extending the agent after launch.

01

Agent opportunity map

Score candidate workflows by volume, value, data readiness, system access, risk and measurable outcome.

02

Proof of value

Build a focused agent on controlled data, validate representative cases and compare the result to the baseline.

03

Production hardening

Complete permissions, security review, integrations, test coverage, monitoring, fallback paths and operating ownership.

04

Scale & operate

Reuse approved patterns, expand to adjacent workflows and manage the growing agent portfolio under one governance model.

A strong first VirtuAgent use case

Runs frequently and consumes meaningful team capacity
Crosses emails, documents, knowledge and one or more systems
Contains recurring judgment that can be bounded by rules and evidence
Has a clear owner, accessible data and a measurable business outcome

Stabilize these conditions first

!The objective is only “we need AI” with no named process or KPI
!No one owns the source data, rules or exception decisions
!The process changes every time and has no repeatable operating pattern
!The desired outcome requires uncontrolled high-risk autonomy from day one
(08)  FAQ

The questions enterprise teams ask before an agent goes live

Clear boundaries, ownership and evidence matter more than a flashy prototype. These are the practical questions VirtuAgent addresses from the start.

What is an enterprise AI agent?
An enterprise AI agent is a software worker designed around a defined business goal. It can understand approved context, make bounded decisions, use permitted tools, update systems and ask a human when a policy, risk or confidence threshold requires it.
How is VirtuAgent different from a chatbot or traditional automation?
A chatbot mainly answers questions. Traditional automation follows deterministic rules. VirtuAgent combines language understanding and reasoning with workflow state, system actions, business rules, approvals and execution logging. It can handle variability, but its autonomy remains bounded.
Can VirtuAgent work with our existing ERP, CRM and legacy applications?
Yes. The product is designed as an operating layer on top of the tools you already run. Integrations can use APIs, databases, files, email and controlled browser execution for applications without an API. The exact approach depends on the system and its security constraints.
How much autonomy should the first agent receive?
Usually less than people initially imagine. A first production agent often starts by observing, drafting or recommending. Execution rights are added only for well-tested, low-risk actions, with approvals and escalation for sensitive or uncertain cases.
What happens to our data?
Data access, deployment architecture, retention and model usage are agreed with your IT and security requirements. Agents are given the minimum data and permissions needed for the task, and sensitive actions can be isolated behind human approvals.
Can we choose the AI model or cloud provider?
VirtuAgent is designed to avoid unnecessary model lock-in. The model can be selected according to the task, language, risk, latency, deployment and cost requirements, while the surrounding workflow and controls remain stable.
How do we measure return on investment?
We establish a baseline before the build and track business outcomes such as cycle time, backlog, completion rate, review effort, quality, exceptions, conversion or control coverage. Model-level metrics matter, but the primary measure is the completed business result.
How do we start?
Start with an agent discovery session. We map one workflow, score its suitability, define the autonomy boundary and build a business case for a focused proof of value.
VirtuDesk VirtuAgent

Start with one workflow that matters

Bring us the process that repeatedly crosses inboxes, documents and systems. We will map the work, define the controls and show where an AI agent can create measurable capacity without removing human judgment where it matters.

Book agent discovery