Move from AI curiosity to practical workflow pilots.
Teksana helps BPOs, support teams, and operations-heavy businesses identify where AI agents can safely and practically improve real workflows — and where they should not.
Most AI projects start in the wrong place.
Many teams are curious about AI. Few have a clear answer to a simpler question: which of our workflows is actually ready, and which one should we pilot first?
So they start with tools, demos, or chatbots — before understanding the workflow underneath. The result is familiar:
- — Demos that look good but fail in production
- — Pilots with unclear human approval points
- — Low trust from the team actually doing the work
- — Poor adoption, even when the technology works
- — Unclear ownership after the pilot ends
- — Failed or stalled projects that quietly disappear
- — Wasted budget, and a more skeptical team next time
The problem is rarely the AI model. It is almost always the workflow, the data, or the design around the human in the loop.
Workflow first. AI second.
Teksana works with operations leaders to bridge the gap between technical promise and operational reality.
Map real workflows
Not the version on the slide, the version on the floor. We document how work actually happens.
Identify high-value AI opportunities
Where AI agents can realistically help improve throughput or quality without adding chaos.
Assess risk and feasibility
Identifying what's blocked by data gaps, process inconsistencies, or missing integrations.
Design human-in-the-loop flows
Ensuring a person stays in the decision path, and defining exactly how they interact with the AI.
Define the safest first pilot
We aim for high signal and low risk. We designs pilots that your team can actually learn from.
Optionally build a prototype
Testable inside your operation to prove the logic before committing to a full production build.
The work is founder-led. No junior consultant pool. Direct engagement with someone who has spent 20 years working through the gap between what software promises and what operations actually need.
AI Workflow Opportunity Sprint
A focused 2–3 week engagement to identify the AI workflows worth piloting — and the ones that aren't.
Duration
2–3 weeks
Focus
One selected operation area
Output
Opportunity map, pilot design, 30–60 day roadmap
What you get at the end:
-
Workflow map
A detailed visual representation of the chosen operation area.
-
AI opportunity map
Ranked by operational impact, feasibility, and risk.
-
Recommended first pilot
A complete design including human-in-the-loop triggers.
-
Prototype scope & Roadmap
Ready for build quotation and a 30–60 day implementation plan.
Optional add-on
Functional prototype build for one selected workflow using real data to test operational feasibility.
Tried AI already, but nothing reached production?
If your team already attempted an AI pilot that failed, stalled, or quietly stopped — the same engagement can be reframed as a Stuck Agent Audit.
We diagnose whether the issue is workflow design, data quality, lack of trust, or poor evaluation metrics, and redesign the attempt into a practical pilot.
Talk about a stuck pilot →Who this is for
BPOs and contact centers
Customer support teams
Back-office operations — claims, review, verification
HR, Admin and QA teams
Operations-heavy SMEs with repetitive but judgment-based workflows
The common thread: workflows that involve repetitive judgment, human review, and the kind of edge cases that break naive automation.
Founder-led. Practical. Workflow-first.
Gino Tria — around 20 years in software engineering, SaaS, product, cloud, teaching, and operations-heavy systems.
Co-founder and product leader at WizyVision, a B2B SaaS platform serving enterprise field operations across logistics, property management, and energy. Long experience turning real operational problems into practical software workflows.
Current focus: practical agentic AI adoption. Workflow-first, not hype-first.
Start with one workflow.
If your team is exploring AI but unsure where to begin, start with a focused discovery call. 45 minutes, no cost. The goal is to understand your operation and identify the area most worth focusing on.
No cost. No obligation. Practical clarity only.
Common questions
Is this only for BPOs?
No. BPOs are the primary fit because their work tends to be repetitive, judgment-based, and easy to scope. But the same approach works for support teams, back-office operations, document-heavy service teams, and operations-heavy SMEs.
Do you build the AI agent too?
The sprint is focused on identifying and designing the right pilot. A prototype build is available as an optional add-on. Full production builds are a separate conversation, usually after the pilot proves out.
Do we need existing AI tools?
No. The sprint works whether your team is starting from zero or already has tools in place. If you have existing AI investments, those become inputs to the assessment.
What if we already tried AI and it failed?
That is exactly what the Stuck Agent Audit is for. We look at why the previous attempt did not work, and redesign one workflow into a safer pilot.
How long does the sprint take?
2 to 3 weeks, depending on the size of the operation area and the availability of your team for interviews and review.
What do we get at the end?
A concrete decision package: workflow map, ranked AI opportunities, feasibility and risk scorecard, recommended first pilot with human-in-the-loop design, prototype scope, and a 30–60 day implementation roadmap.