Agentic Systems
Agents that do real work inside your systems — autonomous where it is safe, supervised where it counts.











Trusted by startups & founders globally
Vettel Technologies
builds working agents for startups, scale-ups and enterprise teams — taking real work off real teams, safely, in production.
The Process
Six stages, each one stacking onto the last. Scroll to walk it.
Two weeks tracing one workflow end to end, and defining what a correct outcome is.
Your real past cases graded into a test set, so accuracy is a number, not a claim.
The agent drafts beside your team on live volume — never acting, always graded.
The agent starts acting, with a human approving risky steps and every action logged.
Approval thresholds widen as the numbers hold — and dial back in one click.
Prompts, evals and dashboards handed to the team that owns the workflow.
What We Build
Six shapes of agent this service ships most often.
Support & Service Agents
Agents that resolve tickets end to end: reading context, drafting replies, and escalating the judgement calls.
Document Processing
Intake, extraction and triage for the PDFs, claims and contracts your team reads by hand today.
Ops Automation
Reconciliation, scheduling and order flows that run themselves, with a human on the exceptions.
Sales & CRM Agents
Lead research, scoring and follow-up drafted by agents inside the CRM you already run.
Internal Copilots
Assistants grounded in your data and permissions, answering the questions your wiki cannot.
Voice & Chat Agents
Customer-facing agents that hold the conversation, book the job, and know when to hand off.
The Outcomes
Measured the way you already measure the business.
First Agent Live
4 wks
Median time from kickoff to an agent drafting real work in shadow mode.
Handled End-To-End
74%
Median share of workflow volume completed without a human touch.
Agents In Production
25+
Agents we have taken from a first conversation to live volume.
Actions Logged
100%
Every agent action attributable, auditable and reversible.
Who This Is For
The same pod, pointed at three very different problems.
Startups
01You need leverage, not headcount. One agent on your highest-volume workflow buys back the hours your small team loses to ops every week.
One workflow automated end to end
Accuracy measured before any autonomy
No ops hires to absorb first
Scale Ups
02Volume is growing faster than the team. Agents absorb the repetitive load — intake, triage, follow-up — while your people keep the judgement calls.
Repetitive load moved off the team
Autonomy widened as accuracy holds
Headroom without a hiring round
Enterprise
03Procurement, security review, and real compliance stakes. Agents run in your tenancy, inside your permissions, with one named owner accountable throughout.
Your standards, tooling and review gates
DPAs, NDAs and least-privilege access
A kill switch your ops team controls
Industries We Build For
The same agent stack, tuned to the constraints of your field. Hover to explore.
01Finance
Reconciliation and KYC agents with every action logged to a trail your auditor can actually read.
02Healthcare
Intake and claims agents working inside the compliance boundary, with a human on every clinical call.
03Hospitality
Guest-messaging and booking agents that absorb the peak-season volume your front desk cannot.
04Logistics
Quote, dispatch and exception agents that keep freight moving overnight without waking anyone.
05Real Estate
Lead-qualification and document agents that keep deals moving between viewings.
Proof, In Production
Systems this service shipped, and what they returned.
The Vettel Advantage
The way the team is built shows up in the way it ships.
Experts ready to start with your project.
We are not blind coders or feature makers. We focus on the right product for the right people.
One team, end to end
Strategy, design and engineering together, nothing lost in handoffs.
Live in weeks, not quarters
03An agile pod is scoped, staffed and deploying to production within 2–3 weeks of kickoff.
Well-defined standards
04Every client gets the same service standards: review gates, CI checks and a written definition of done.
90%
of our developers are senior-level.
Tools & Technologies We Use
See how AI automation transformed performance and accelerated growth across industries.
Web & Mobile
Interfaces people actually use.
Backend & Cloud
The engine under the product.
AI & Data
Models wired into real workflows.
DevOps & Integrations
Ship it, then keep it fast.
Testimonials
From the people who owned the budget, the roadmap and the on-call rota.

“They understood how real estate actually sells here. What they built brings us enquiries we can act on the same day, not leads that go cold in a spreadsheet.”
Jay Sharma
Partner, Bhoomi Reality

“Vettel took us from a deck to a live payments platform in one quarter. We walked into investor meetings demoing a real product — and closed our pre-seed with it.”
Phil Galina
Founder & CEO, OzuraPay

“Our clients now arrive at review calls knowing their goals and their numbers. The platform does the explaining, so we spend the time actually advising.”
Dr. Sanjiv Mehta
Director, eFinance Doctor
FAQs
The questions that come up on almost every scoping call.
It’s the right time. The first phase is framing — picking the one workflow where an agent pays for itself fastest, and writing down what a correct outcome means. That definition matters more than the model.
Yes — that is the point. Agents connect through typed, permissioned tools into the CRM, ticketing and databases you already run. Nothing gets replaced to make room for them.
You do, from the first commit. Prompts, evals, orchestration and dashboards live in your repositories under your licence — and the model API keys are yours from day one.
Fixed price for the pilot so you can judge us cheaply, then a flat monthly rate for build cycles. We don’t bill hourly — it pays us to be slow, and you shouldn’t have to audit a timesheet to trust the work.
We hand over on purpose: runbooks, eval suites, dashboards and paired sessions until the people who own the workflow can retune it themselves. Most keep a small oversight retainer for the first six months.
The pod that scopes your agent is the pod that ships it — senior engineers who have run agents on production volume, with no handoff to a bench you never met.
A demo every Friday and a written accuracy report every week from shadow mode onward. A week without a number you can check is treated as a red flag.
Whichever scores best on your eval set — that is the point of having one. The orchestration layer owns the model interface, so swapping providers is a config change, not a rebuild.
It will, occasionally. Every action is logged and reversible, risky steps queue for human approval, and each miss is graded into the eval set so the same mistake does not ship twice.
Scope is re-cut at every cycle boundary rather than renegotiated in a contract. You redirect the pod; the invoice shape stays the same.
Latest Blogs
Field notes from production — agents, evals and humans in the loop.
Enterprise AI agent development: from demo to dependable workflow
A production blueprint for tools, permissions, memory, evaluations, observability, and human approval in enterprise AI agents.
Jan 22, 2026
An AI agent evaluation framework for real business work
How to measure task completion, decision quality, policy adherence, cost, and escalation before an agent touches production.
Jan 15, 2026
Human-in-the-loop AI automation: design the handoff, not just the agent
A practical framework for escalation thresholds, review interfaces, accountability, and feedback loops in high-impact workflows.
Jan 8, 2026
Ready to take real work
off your team’s plate?






