UTENX · ENGINEERING
AI automation services for connected business workflows.
Connect AI to the tools your team already uses. Automate recurring work with access rules, quality checks and a system your team can operate.
Make AI work inside the systems your team already uses
AI automation services connect model capabilities with the tools, records and decisions involved in daily work. Utenx builds workflows across sales, customer support, finance, operations and reporting, so an AI component can use the right information and pass useful work to the next system.
The deliverable is a working connection with clear access rules, quality checks and an owner. Your team receives the code, accounts, credentials and runbooks required to operate the system. We choose tools for the job and do not depend on reseller rebates to justify the recommendation.
Book a 30-minute project scoping call. Bring the workflow you want to improve and the systems it touches.
When a connected workflow is the right next step
You may already have capable tools and still spend hours reconciling records, following up manually or moving the same information between teams. Adding another AI interface does not resolve missing access, inconsistent records or unclear responsibility.
A useful starting point is a recurring workflow with a named business owner, available source information and an outcome your team can verify. Examples include routing customer requests with the correct account context, keeping sales activity aligned across tools, or connecting payments, books and reporting. Which approach fits depends on your systems and the exceptions involved.
A typical connected workflow
Illustrative pattern: a customer request enters one system, the workflow retrieves the permitted records, creates or updates the correct work item, and records the result. The project scope determines the actual tools and approval steps.
What we can connect
- AI and automation: agents, chatbots and workflow steps, with model routing, quality checks and cost visibility where the project needs them.
- Sales and customer systems: leads, customer records, pipeline activity and follow-up across the tools your team operates.
- Finance and operations: payment, billing, expense and operational information that otherwise requires manual reconciliation.
- Data and reporting: pipelines and dashboards that use consistent records across systems.
- Logins and security: role-based access, single sign-on and cross-system audit visibility within the agreed scope.
If the workflow depends on devices or on-premise processing, we can include hardware in the integration scope. The scoping engagement determines the boundaries and what your team needs to procure or provide.
Map the stack, build the connection, hand it over
Map. We inventory the relevant stack, identify overlaps and missing connections, and define a practical scope. The current mapping engagement is listed at $8k for one week. Its output includes the stack inventory, cost and redundancy map, gap analysis, tool recommendations and a build scope.
Connect. We select the necessary tools, connect the agreed systems, set up access rules and logging, and move from staging to go-live. Current builds are listed at $45k–$120k for a fixed scope over six to ten weeks. The agreed project determines the actual timeline and acceptance criteria.
Own. Your team receives owner access and operating documentation. Ongoing capacity is available for stacks that keep changing; it is optional. A handoff should make clear which system owns each connection, how failures are detected and what the operator should do next.
Define success before adding an AI step
The right acceptance criteria come from the workflow. Examples to agree during scope include correct record updates, appropriate permissions, visibility into failed steps and a documented operating path for exceptions. An AI output should be evaluated against the specific task and the consequences of an incorrect answer.
Some work is best handled with a deterministic rule or direct system connection. AI is useful where interpreting varied information adds value. The goal is the working business process; tool selection follows that goal.
Scope and pricing
The current public engagement model is an $8k Map, $45k–$120k Connect build and optional $12k/month ongoing retainer. Costs depend on the connections involved, data readiness, permissions, exception handling and acceptance requirements. Third-party products and procurement responsibilities need to be agreed in the scope. Confirm current currency and terms in the proposal.
If you already have a defined requirement, bring it to the call. If the stack needs mapping first, we will discuss whether that is the appropriate paid starting point. We will say when the project is outside our fit.
What will our team own?
The current offer includes repo access, credentials, data exports and runbooks. Confirm the full handover list and any third-party licence constraints in the project scope. Ownership should be specific enough that your team can identify each account, connection and operating responsibility.
Do we need to replace our existing tools?
Not necessarily. We begin with the tools you run, identify the useful pieces and propose changes where a gap requires them. A working integration may use existing products, custom connections or both. The mapping engagement determines the trade-offs.
How long does implementation take?
The current services page lists six to ten weeks for a fixed-scope build. That is an engagement range, not a promise for every project. The systems involved, access readiness and agreed scope determine the delivery date.
How do we start?
Book a 30-minute project scoping call. Bring the workflow, the systems it touches and the result your team needs. We will assess fit and discuss the next scoping step.
Related work and guidance
NEXT STEP
Scope the system you need.
Bring the workflow, tools and result your team needs. Start with a 30-minute project scoping call or send a short brief.