Account and meeting preparation
Turn CRM records, previous conversations, and approved market sources into account briefs, questions, and proposal outlines.
Home / LabsTurn the idea into
Wenova Labs / Build
Turn the idea into
something that works.
We build business applications, AI agents, and connected workflows around the work your business needs to do. Launch a service, create more delivery capacity, or establish the digital foundations you need. We work with you from design through implementation.
Discuss what needs buildingEducate. Transform. Build.03 / 03
Existing systemsBusiness logic and AIOperation and review
Illustrative exampleVerified software. Transferable knowledge.
Build
Build for the work people do every day.
Plan for the team, the existing tools, and ongoing operation together. Business rules, evaluation, and human decisions are part of the system design. Give the new capability a clear place in the organization and an owner responsible for it.
Solutions for your operation
Where could your business move faster?
Explore potential applications by function or industry. We design the solution around your workflows, data, and business rules.
By business function
01Sales and marketingMore attention on the customer and the next opportunity.
Potential applications
Connected marketing workflows
Connect research, content production, expert review, and approved publishing. Feed campaign and sales results back into planning.
Usable CRM data
Identify duplicates and gaps, propose updates, and keep changes and handoffs traceable.
02Finance and procurementLess reconciliation work, better information for decisions.
Potential applications
Document reconciliation
Match invoices, purchase orders, and delivery or service acceptance records. Route discrepancies for review before posting.
Supplier quote comparison
Compare prices, delivery dates, terms, and disqualifying conditions with links back to the source documents.
Plan-versus-actual reporting
Update reports using agreed metrics and verified calculations. Use AI to investigate and explain variances.
03HR and back-office teamsAccessible knowledge and requests that keep moving.
Potential applications
Onboarding and learning
Role-specific knowledge, answers linked to sources, and onboarding tasks with clear owners.
Internal service requests
Interpret requests, collect missing information, and route work to the right owner with deadlines and approvals.
Documents and obligations
Track contract deadlines, missing attachments, and renewals. Apply role-based access to personal information.
04Customer supportA shorter path to an accurate answer.
Potential applications
Case preparation and routing
Classify incoming cases by topic, urgency, and expertise required, with relevant customer history attached.
Knowledge-grounded responses
Draft responses from current product and service information, with controlled access, source references, and escalation rules.
Recurring issue analysis
Analyze case patterns, recurring problems, and resolution times to inform product and process improvements.
05Operations and business decisionsVisible workflows and earlier signals of a problem.
Potential applications
Digital workflow tracking
Capture who did what, when, with which information, and what happened next. Connect fragmented data sources.
Exception management
Route missing data, delays, and rule violations to an accountable owner with context and next steps.
Capacity and business scenarios
Explore the effects of pricing, demand, or resource changes using explicit assumptions and sensitivity analysis.
06IT and engineeringRecover system knowledge and make changes verifiable.
Potential applications
Legacy System Takeover
Map code, dependencies, and business logic, take over support, and modernize in stages according to risk.
Agentic engineering workflows
Move from specifications to isolated implementation and review. Use tests and acceptance criteria to govern handover.
Technical knowledge and diagnostics
Connect documentation, incidents, versions, and operational signals to support investigations and maintenance.
By industry
01Manufacturing and engineeringBring technical knowledge into everyday decisions.
Potential applications
Technical knowledge access
Search versioned specifications, maintenance instructions, and incident records within product and access boundaries.
Quality investigations
Connect measurement results and reported defects to prepare investigations and quality reports.
Engineering change tracking
Keep requirements, changes, approvals, and related documentation connected and traceable.
02Logistics and constructionKeep information intact across operational handoffs.
Potential applications
Project and shipment records
Process orders, delivery notes, and acceptance records, flagging discrepancies and missing information.
Quote and cost preparation
Compare scope, quantities, and supplier offers using calculations that can be checked.
Operational exceptions
Collect delays, changes, and capacity issues, assign owners, and track resolution.
03Financial and professional servicesTraceable information for accountable decisions.
Potential applications
Policy and expert knowledge
Search internal material with document versions, citations, and enforced access rules.
Client file preparation
Check document completeness, reconcile information, and prepare requests for missing items.
Reporting and controls
Produce management reports from reconciled data, with variance analysis and recorded approvals.
04Energy and infrastructureMake system knowledge and technical risks visible.
Potential applications
Legacy software assessment
Map architecture, dependencies, and engineering practices, with prioritized risks and a transition plan.
Maintenance knowledge
Make authorized technical documentation and event history accessible to operations specialists.
Operational data analysis
Establish data collection, quality checks, and decision-support reporting separate from operational control systems.
05Commerce and service businessesConnect customer experience with the work behind it.
Potential applications
Product and service knowledge
Give sales and support access to current product information and commercial terms.
Orders and customer requests
Connect customer portals, order status, internal tasks, and the systems that support fulfillment.
Demand and profitability
Analyze revenue, cost, and capacity data to inform assortment, pricing, and service planning.
Legacy System Takeover
The system still matters. Even when the original supplier is gone.
We take over support and development for business-critical applications. Recover the knowledge needed to operate them, understand their constraints, and establish what to retain, modernize, or replace in stages.
- 01
Understand the system
Map business logic, code, data, integrations, and dependencies. Combine documentation and former developers' knowledge with static, dynamic, and AI-assisted analysis to establish the current state.
- 02
Plan the handover
Resolve access, licensing, support responsibilities, and critical failure scenarios. Define the tests, backup and recovery exercises, and steps needed for a controlled transition.
- 03
Choose the path forward
Define the target state and gaps. Compare continued operation, targeted modernization, integration, and phased replacement across cost, resources, schedule, constraints, and transition risk.
From our team's experience
A property register without a support provider.
Municipal application / closed GIS foundation
- The situation
- The previous supplier terminated its contract. The application relied on an external GIS product with a closed framework that required specialist knowledge.
- Our contribution
- We located former developers and combined their knowledge with AI-assisted assessment to understand the application and its modification boundaries quickly.
- What changed for the customer
- We took over support and smaller development tasks on a short timeline. The previously unsupported application had a knowledgeable technical partner again.
AI-first design
Rethink the workflow from intent to execution.
An AI-native solution connects knowledge, decision rights, tools, and evaluation. An agent works with authorized data, can take permitted actions, and hands results or decisions to people at defined points in the workflow.
- 01
Goal and criteria
Give the task an owner, a business objective, and acceptance criteria that can be checked.
- 02
Knowledge and tools
Make the data and actions required by the role available through controlled access.
- 03
Execution and evaluation
The system works within its assigned authority. Rules, tests, and approvals protect consequential actions.
- 04
Results and feedback
Use accepted outputs, effort, and failures to improve the workflow.
What changes for the team?
People set goals, handle exceptions, and make decisions. Agents perform repeatable preparation, data gathering, and cross-system tasks within their assigned authority. Leaders can track turnaround time, acceptance rate, unit cost, and the amount of human intervention required.
What do we need to start?
- A bounded task and a clear measure of success.
- Usable data, appropriate access rights, and an accountable data owner.
- System connections, a test environment, and representative tasks.
- A process owner, approval rules, and an operating budget.
We can establish missing foundations as part of the work. Start with one well-defined workflow, then expand based on measured results.
The engineering underneath
From enterprise knowledge to systems that act.
Technology follows the task. We design around data sensitivity, your existing environment, expected workload, and operational requirements.
01Enterprise knowledgeRAG / vector and hybrid search
Implementation
Document processing, versions and metadata, a vector database or search index, and retrieval of relevant material for the answer. Enforce access filters at retrieval and retain references to the sources.
What this gives you
People receive answers grounded in knowledge they are authorized to access. We test updates, deletion, answer quality, and permission boundaries.
02Analytics and reportingSQL / data warehouse / business metrics
Implementation
Validated data connections, agreed KPI definitions, and calculations implemented in code. AI helps people ask questions, investigate relationships, and interpret results.
What this gives you
A shared definition for each metric, with traceable source data and calculations that can be verified.
03Agents and integrationsAPI / webhook / MCP
Implementation
Expose operations through narrowly scoped tool connections. Model Context Protocol (MCP) is an option where it provides a standard connection between an agent and a system. The receiving system enforces authorization.
What this gives you
Agents can take action within the workflow, with explicit permissions and approval points.
04Enterprise accessSSO / roles / isolation
Implementation
Enterprise identity, role- or attribute-based access, and separation between tenants and data domains. Secret management and rules for sending data externally are part of the design.
What this gives you
Users and agents can access only the data and actions allowed for their task. Negative test cases verify those boundaries.
05Resilient workflowsState / queues / recovery
Implementation
Preserved workflow state, timeouts, and controlled retries. Idempotent operations prevent a retry from creating a second transaction. Failed cases follow a defined recovery path.
What this gives you
Track progress and resume work after a failure. Recovery and duplicate prevention are demonstrated through tests.
06ObservabilityTraces / evals / version history
Implementation
Associate each task with model, configuration, and source versions, tool calls, evaluation results, elapsed time, and cost. Define how sensitive information is logged and retained.
What this gives you
Investigate failures and compare the effect of changes. Auditability rests on actual records and checks.
Illustrative example
What should the agent be allowed to complete?
Illustrative example: an agent processes an incoming business document and prepares the next workflow step.
Interpret
The agent uses an approved source, identifies the document, and extracts the required information. The system retains provenance and processing state.
Evaluate
Code validates required fields, amounts, and business relationships. Missing or conflicting results go to a person. The model's stated confidence is not an acceptance criterion.
Execute
Only authorized actions and approved data reach the connected system. Retries must not create duplicate postings or tasks. Failures have a traceable recovery path.
Quality built into the workflow
Every accepted result needs supporting evidence.
AI outputs can vary. We build a dependable workflow around them by defining the task, permitted actions, and acceptable result up front, with repeatable checks.
01GovernanceWho has authority to decide?
Define owners, data-handling rules, decision rights, and approvals. Specify what the system can do autonomously and when a specialist must take over.
What you receive
A roles and permissions matrix, decision rules, and change control. Clear ownership for intervention and approval.
02HarnessWhat keeps the agent within bounds?
The execution environment manages tools, state, time and spending limits, isolation, and failure paths. Content in an external document must not grant the agent additional authority.
What you receive
A configured execution environment with boundary tests. Operations can be stopped, investigated, and recovered.
03Evidence and proofWhat demonstrates acceptance?
Link requirements to sources, test results, versions, and review records. A demo illustrates a particular case. Acceptance depends on results across the agreed evaluation cases.
What you receive
An acceptance package with evidence traceable to each requirement, including what was tested and in which environment.
04QA and evalsHow is quality measured?
Representative tasks, malformed and adversarial inputs, source fidelity, access boundaries, and business-rule checks. Re-run affected evaluations when models or configurations change.
What you receive
A versioned evaluation suite, thresholds, and release gates. Compare quality before and after a change.
05Maker-reviewerWho checks the work?
The maker and reviewer receive separate assignments. The reviewer checks against original sources and acceptance criteria, then verifies fixes. Automated tests and risk-appropriate expert review complement model-based evaluation.
What you receive
Review findings, fixes, and completed rechecks. Agreement between two agents alone is insufficient for acceptance.
06LoopHow does it stay useful?
Repeat the cycle of goal, execution, evaluation, measurement, and improvement. Turn operational failures into test cases and introduce changes through controlled releases.
What you receive
KPIs, alert rules, and a review cadence. Use quality, turnaround time, and cost to decide what to improve next.
The engagement
From a first engagement to an operating capability.
- 01
Scope one complete workflow
From inputs to an accepted outcome. Define sources, system connections, accountability, permissions, and measurable acceptance criteria.
- 02
Evaluate, then run a controlled pilot
Typical cases, exceptions, missing inputs, and incorrect outputs. Assess quality, cost, latency, and the human intervention required.
- 03
Operate, observe, and re-evaluate
Logging, alerts, recovery, versioning, handover, and an accountable operator. Expand based on observed results and remaining risks.
Build
Software that goes beyond the demo.
- Task scope, permissions, and testable acceptance criteria
- Evaluation cases, automated tests, and documented limitations
- Integrations, business rules, and versioned configuration
- Logs, failure handling, recovery, and cost monitoring
- Handover, operational ownership, and change control
A Wenova solution approach / Wenova Squad
Enterprise multi-agent systems
Autonomous work. Deliberate control.
Designing Wenova Squad gave us direct engineering experience in how specialized AI agents can work together in an enterprise setting. The work on roles, handoffs, and review informs how we design agent workflows for clients.
How it works
Define what each agent may do, which state it passes on, and how failures are handled. Duplicate-execution controls, spending limits, and separate evaluation make execution easier to trace and govern.
Designed around your business
We select the agent architecture and integrations for the business task. Authorized actions, human decision points, and acceptance tests define the operating boundaries. We then evaluate behavior, cost, and quality in the intended environment.
Explore related professional workOur methods and solution approaches
We put the approach to work in our own business.
Wenova OS connects shared knowledge, decision rules, and review in our daily work. Squad contributes engineering experience in multi-agent systems. Loop connects AI-assisted marketing with sales feedback. We draw on these approaches when designing solutions around your business.
A few useful answers.
Can you guarantee that AI never makes a mistake?
No. Scope the task and risk so that evaluation, human approval, and failure handling can support acceptable operation. Test that design in a controlled pilot and keep measuring it in production.
What if the digital foundations are missing?
Start with the workflow, data capture, and ownership. Build or connect the tools it needs, then introduce AI tasks on usable, measurable foundations.
Does every workflow need multiple agents?
No. A defined workflow or one agent is often sufficient. Multiple roles are justified when the benefit of the division of work outweighs coordination cost and risk.
Will our existing systems need replacing?
Assessment determines whether to retain, repair, integrate, or replace in stages. Source access, rights, handover, and support are defined in the engagement.
Three connected capabilities. Start with the one your business needs.
Talk through your challenge
What would you like to change?
A stalled rollout. Too much manual administration. A business idea worth exploring. Tell us what matters to you.
Talk through your challenge