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Vonneum Labs logo Vonneum Labs Build the next advantage Discuss your workflow

Agentic AI Solutions

AI agents for the work between your business tools.

Assess and pilot a supervised workflow that investigates requests, chooses permitted next steps and prepares work for your team's approval.

For founders and operations teams with recurring work, accessible systems and a clear process owner. Start with one workflow and a practical way to judge the result.

Based in Bhubaneswar, India. Working with businesses in India and international markets.

WORKFLOW CONCEPTSR-204
01 / REQUESTThe monthly report is missing Site North.

Which permitted source
is needed next?

Report statusRead only
Approved guideRead only
HUMAN REVIEWPrepare. Review. Then act.Approval applies to the action shown.
Missing evidence?Stop & ask a person
A sample request moves through permitted checks to a human review. Concept illustration using synthetic data. No live systems connected.

01 Find the fit

Is an agent the right fit?

An AI agent uses a model to choose among permitted next steps, such as checking another source or requesting clarification. Its task, tools and authority should be defined before it runs.

An agent may be useful when the path changes with the information it finds. It is less useful when a reliable rule or an existing software feature already completes the job.

01

Requests need investigation

Your team has to gather context from several approved sources before preparing a useful response.

02

Exceptions interrupt routine work

Most cases follow a pattern, but missing or conflicting information requires a different next step.

03

Decisions need supporting evidence

People need a clear recommendation, the sources behind it and a record of unresolved questions.

THE SIMPLEST USEFUL STARTING POINT

Follow known steps and conditions
Conventional automation
Summarise, extract, draft or answer from documents
An AI feature or knowledge assistant
Choose the next check within a defined task
A supervised agentic workflow

02 A workflow, made visible

Follow one request. See every boundary.

A support request arrives: “The monthly report is missing Site North.” The workflow can check the report status or consult approved guidance, depending on what the request needs. It then prepares an internal review packet with its sources and unresolved questions.

Concept demonstration. Synthetic data. No live AI, customer records or external actions.

SERVICE-REQUEST INVESTIGATIONSynthetic example

Simulation only. Synthetic data. Nothing is sent or changed in a business system.

NORMAL PATH

  1. 01Request selected
  2. 02Choose a permitted check
  3. 03Read status or approved guidance
  4. 04Prepare a review packet
  5. 05Await human approval
  6. 06Record a simulated internal note

Which permitted source is needed next?

EXCEPTION PATH

  1. Status unavailable
  2. Evidence incomplete
  3. Manual review required
  4. No external action
APPROVAL BOUNDARY

Review the proposed action

Awaiting approval for the internal note shown below.

Request: SR-204. Proposed action: add an internal note recommending review by the reporting team. Sources: sample report status and approved sample guide. Customer message: none. Account changes: none.

PROPOSED INTERNAL NOTE

Sample report for Site North is incomplete. Recommend review by the reporting team before preparing a customer response.

A reviewer checks the target, evidence and full note before approving. Approval applies only to the action shown.

SAMPLE ACTIVITY RECORD

  1. Selected request: SR-204.
  2. Read sample report status and approved guide.
  3. Prepared internal note for human review.

Illustrative events, not live system activity.

If a source is unavailable, information conflicts or the request exceeds its permissions, the workflow stops or asks a person to take over. It does not invent a completed action.

These are illustrative concepts, not completed client projects.

Discuss your workflow

03 The deliverables

What a scoped engagement can include

The proposal defines the workflow, systems, users and deliverables. A focused engagement can include:

01

A workflow decision brief

Map the current process, compare simpler alternatives and identify the data, access and review requirements. Receive a recommended next step and a first-release scope.

02

A bounded agent pilot

Test one workflow with selected users and approved tools. Receive the implementation and the evidence needed to decide whether it is useful.

03

Review and exception handling

Make proposed actions visible, require the agreed approvals and give incomplete or failed cases a clear owner.

04

Evaluation and operating guidance

Review task quality, human effort, failures and usage costs. Receive the agreed configuration, documentation and handover materials.

04 Before we build

Start with the tools and information you already have

You do not need to choose a model or framework before speaking with us. Bring one process that needs improvement, the people who understand it and a few examples of how the work happens today.

BRING ONE PROCESS

  • A process owner who can explain the task and approve changes.
  • Representative examples, including difficult or incomplete cases.
  • Approved information sources and a way to check their accuracy.
  • Authorised access to the relevant software or its documented interfaces.
  • People who can review the pilot and handle exceptions.

Compatibility depends on available APIs, permissions, subscription features and data quality. We check these before committing to a connection. Data preparation or unsupported systems may require separate work.

05 Human control

Your team sets the limits

An agent should have a defined job and a limited set of tools. The project specifies what it may read, draft, recommend or change, and which actions require a person to approve them.

Read
Only the approved sources and records available to the authorised user
Draft and recommend
Prepare an internal result with evidence and unresolved questions
Change a record
Only where explicitly included and after the required approval
Send, delete, pay or make a binding commitment
Outside the sample workflows and initial pilot scope

Approval is checked by the application before the action runs. A message or document cannot grant the agent new permission. Failed checks lead to a blocked action or manual review.

Data handling is agreed for the selected tools and providers, including processing locations, retention and deletion. Whether a provider uses data for training is a separate question from whether it stores that data.

Your operating plan should include a way to pause execution, revoke access and continue the work manually.

06 A measured process

Discover, test, review, then decide

  1. 01

    1. Understand the workflow

    Define the task, current process, permitted actions and useful outcome. Check whether an existing tool or simpler automation is sufficient.

  2. 02

    2. Resolve the important uncertainties

    Review access and representative examples. Use a limited technical experiment where needed, then agree the pilot scope and evaluation criteria.

  3. 03

    3. Run a supervised pilot

    Test the bounded workflow with selected users. Review normal cases, exceptions, mistakes, operating costs and the effort people still need to contribute.

  4. 04

    4. Decide the next step

    Proceed, revise, simplify or stop based on the evidence. Production deployment requires a separate agreement covering operational controls, responsibilities and support.

A demonstration shows a possibility. A pilot tests usefulness. Production requires the additional work needed for routine operation.

Discuss your workflow

07 Evidence before expansion

Judge the workflow on real work

Agree what a correct result looks like before implementation. Compare the pilot with the current process and a simpler alternative where useful.

ProceedReviseSimplifyStop

The final review can recommend proceeding, revising the scope, choosing a simpler approach or stopping. A pilot does not have to justify a larger build.

PILOT SCORECARDNot measured · Sample layout
Task quality
Does the workflow complete the agreed task correctly?
Supporting evidence
Do the sources support its recommendation?
Permissions
Are unauthorised actions and access attempts blocked?
Human effort
How much review, correction and exception handling remains?
Reliability and cost
What fails, how long does work take and what does each successful task cost?
Adoption
Can the intended users work with it effectively?

Evaluation criteria are agreed for your workflow. No performance results are claimed by this example.

08 Beyond the build

Know the running costs and who owns what

The build fee is one part of the cost. Running a workflow can also involve model usage, tool calls, hosting, storage, search infrastructure, subscriptions, monitoring and human review. Retries and failed runs still consume resources.

We separate implementation fees from recurring services and additional changes in the proposal. A useful operating measure is the total cost of attempted work divided by the number of correctly completed tasks, with review effort included.

  • Model usage
  • Tool calls
  • Hosting & storage
  • Search & subscriptions
  • Monitoring
  • Human review

Accounts and project materials

The agreement identifies who controls the accounts, custom code, configuration, documentation and evaluation materials. Client-owned service accounts are preferred where practical. Existing components and third-party software keep their own licence terms.

Support after the pilot

Ongoing monitoring, maintenance and further development are scoped separately. Coverage hours, response targets, responsibilities and transition arrangements are agreed before routine production use.

09 Ways to begin

Start with a decision you can act on

01 / DISCOVERY FIRST

Workflow Discovery & Decision Brief

For a recurring problem whose best solution is still unclear. Assess one workflow, its information and systems, the decisions involved and the options for improving it.

You receive: a workflow map, readiness findings, permission boundaries, evaluation plan and recommended next step. That recommendation may be an agent pilot, a simpler solution or no build.

Commercial approach: paid, fixed-scope discovery with a written proposal before work begins.

Discuss your workflow

02 / WHEN THE WORKFLOW IS DEFINED

Scoped Agent Pilot

For a workflow with enough discovery evidence to test. Agree the users, tools, data, action limits and success criteria, then evaluate a bounded implementation.

You receive: the scoped pilot, review and exception handling, evaluation findings, observed usage costs and a decision on what should happen next.

Commercial approach: a scoped proposal after readiness is confirmed. Production deployment and ongoing support are separate decisions.

Discuss your workflow

Pricing and timing depend on the workflow, access, data preparation, integrations, testing and review requirements. Your proposal makes those assumptions explicit.

10 Useful answers

Questions before you begin

01What does agentic AI mean?

It describes systems in which a model helps choose actions or next steps toward a defined task. A business workflow should still have limits on tools, information and authority. A chatbot or a long automation sequence is not automatically an agent.

02How do we know whether an agent fits our business?

Start with a recurring task, a process owner and representative examples. We compare agentic work with existing software, rules-based automation and simpler AI features. The assessment may recommend a simpler approach.

03How is this different from AI Integration?

AI Integration focuses on adding capabilities such as search, extraction or drafting to existing software. Agentic AI focuses on a bounded task where the next step can change as information is gathered. Some projects combine both. Explore AI Integration for a focused feature or knowledge assistant.

04Can you work with our existing systems and imperfect data?

Potentially. Compatibility depends on authorised interfaces, licences, permissions and source quality. We assess those dependencies first and identify any preparation work. We do not assume every system can support the required connection.

05What happens when the agent is wrong or cannot finish?

The workflow needs checks, evidence and an exception path. Missing, conflicting or unsupported information should trigger clarification or manual review. We test errors and failures as part of evaluation; no model is assumed to be error-free.

06Can it send messages or change records without approval?

Only actions explicitly authorised in the agreed scope can run. The initial concepts exclude customer sending, payments, deletion and binding commitments. Where record changes are included, the application enforces the agreed permission and approval checks.

07Does a person review every step?

Not necessarily every permitted read or routine check. People review the actions and exceptions defined by the workflow's risk and scope. The first pilot is supervised; changing its authority requires an explicit decision and further testing.

08Will our data be used for training, and where is it stored?

Those answers depend on the selected providers, products, settings and agreements. We document processing and retention separately from training use. Hosting an application privately does not by itself mean that model inference is private.

09What will it cost, and how long will it take?

The estimate follows the agreed workflow, systems, data preparation, users and testing. Build fees are separated from recurring usage and support. Timing also depends on access, review availability and unresolved technical questions.

10Who owns the code, accounts and materials?

The contract defines ownership and access for custom work, configuration, documentation and evaluation assets, including any payment conditions. Client-owned accounts are preferred where practical. Third-party products, models and existing components retain their own terms.

11Who supports the workflow after launch?

Production needs an agreed operating owner and support plan. Monitoring, maintenance, coverage hours, response targets and additional changes are specified separately. A pilot engagement does not imply unlimited ongoing support.

12What happens if the pilot misses its targets?

We review the evidence and decide whether to revise, simplify or stop. You receive the agreed findings and deliverables. A useful pilot can prevent an unsuitable production investment.

11 Let’s talk

Tell us about one workflow worth improving

Describe what starts the work, which tools are involved and where your team gets stuck. A brief summary is enough for the first enquiry.

Continue to enquiry form

On the contact form, choose Agentic AI and describe the workflow. You can also email contact@vonneum.com.

contact@vonneum.com

Opens your email app. You review and send the message yourself.

What happens next

We review the enquiry and identify the useful next conversation. That may lead to paid discovery, a scoped pilot or a simpler recommendation. An enquiry does not book a meeting or commit you to a project.

Please do not include passwords, API keys, confidential documents or sensitive customer information. Read our Privacy Policy for details about enquiry handling.