Enterprise AI agents · Built on Claude
AI agents that run your operations, not just answer questions.
veli(Q Lab designs, builds and operates enterprise-grade AI agents for sales, support, finance, HR and operations. They do the work end to end, inside the tools you already use.
Scoped in days · Live in weeks · Measured in revenue and hours saved
- ✦Pulled 1,284 invoicesERP · Gmail · Shared drivetool: erp.query
- ✦Matched 1,261 against bank feed98.2% auto-matched, 23 need reviewtool: bank.match
- ✦Flagged 3 duplicate payments · $14,820Vendor: Harbour Logistics · INV-2291reasoning
- ✦Drafted vendor emails and ledger entriesWaiting for approval from Finance leadhuman-in-the-loop
- ✓Report sent to #finance and CFO6h 40m of manual work savedtool: slack.post
The shift is here
Agents are moving from pilots to production.
Analysts agree that AI is shifting from assistants that suggest to agents that act. The companies that operationalise agents first will set the cost base everyone else has to compete with.
of enterprise apps will feature task-specific AI agents by the end of 2026, up from less than 5% in 2025.
Gartner, Aug 2025of organisations are already experimenting with AI agents, but only about 23% are scaling them anywhere in the business.
McKinsey, State of AI 2025of common customer service issues will be resolved autonomously by agentic AI by 2029, cutting operational costs by 30%.
Gartner, Mar 2025projected AI agents market by 2030, growing about 46% a year from roughly $7.8B in 2025.
MarketsandMarkets42% of organisations in Southeast Asia are already implementing agentic AI, and another 44% plan to within 12 months. The region is moving faster than many expect.
IDC × UiPath, 2025The problem
Your best people are stuck doing busywork.
Copying data between systems, chasing approvals, triaging inboxes and building the same report every Monday. It's slow, expensive and it doesn't scale with headcount.
Every hour here is an hour an agent can do instead. Calculate yours
Agents for every department
One team of agents. Every department.
Each agent is built around a real workflow, connected to your systems and measured against the KPI that matters to that team.
01 / 05
Qualifies inbound leads in seconds, researches accounts, writes personalised follow-ups and keeps the CRM clean.
Resolves routine tickets end to end, drafts answers from your knowledge base and escalates the rest with full context.
Reads invoices and receipts, reconciles against bank feeds, flags anomalies and prepares month-end packs.
Screens CVs against the role, schedules interviews, answers policy questions and runs onboarding checklists.
Builds weekly reports, chases status updates, drafts campaign content and keeps projects moving.
Hi, I was charged twice for order #48213 😕
Sorry about that. I can see two charges of ฿2,450 on 3 Oct. I've refunded the duplicate; you'll see it in 3–5 days. Anything else?
✦ Checked billing · issued refund within policy · ticket closed · CSAT survey sent
✦ 214 CVs screened against the job spec · top 12 invited · interviews booked into hiring managers' calendars
Weekly operations report · Week 41
✦ Orders up 12% week on week. 2 projects at risk; owners pinged with next steps. Campaign draft ready for review.
Industries
Built for how your industry works.
Retail & e-commerce
Order support, returns, catalogue enrichment, marketplace ops.
02Logistics & supply chain
Shipment tracking, document processing, carrier coordination.
03Financial services & insurance
KYC checks, claims intake, collections, compliance reporting.
04Healthcare & clinics
Appointment booking, patient FAQs, intake forms, billing.
05Real estate & property
Lead qualification, viewings, tenant requests, lease admin.
06Hospitality & travel
Reservations, guest messaging, reviews, group bookings.
07Manufacturing
Procurement, supplier follow-up, quality reports, maintenance logs.
08Professional services
Proposal drafting, research, timesheets, client reporting.
How we work
From workflow to working agent in weeks.
We don't sell a chatbot and leave. We own the outcome with you, from mapping the process to running the agent in production.
- _01_
Discover
We map your workflows, systems and costs, and pick the processes with the highest ROI.
Week 1 - _02_
Design
We design the agent: tools, guardrails, approval steps and the KPIs it will be measured on.
Week 2 - _03_
Deploy
We build, test against real cases and ship into your stack: CRM, ERP, email, chat and docs.
Weeks 3–6 - _04_
Operate
We monitor, evaluate and improve the agent every month, and report the hours and revenue it delivers.
Ongoing
Reality check
0%+
of agentic AI projects will be cancelled by the end of 2027 due to escalating costs, unclear business value or inadequate risk controls.
Gartner, Jun 2025Built to ship, not to stall.
Most agent projects stall as demos. Ours are engineered around the three reasons Gartner says projects fail.
ROI before code
Every engagement starts with a value map: the hours, cost and revenue at stake per workflow. If the numbers don't work, we tell you and we don't build.
Engineered for unit economics
We route each step to the right model size, cache aggressively and cap spend per run, so cost per task is known and falls over time.
Guardrails by default
Scoped permissions, approval gates, evaluation suites and complete audit logs ship with every agent, not as an afterthought.
Under the hood
Enterprise-grade, by design.
Our agents are built on Claude by Anthropic, one of the most capable and safety-focused AI models available, and wrapped in the controls enterprises need.
Tool use & actions
Agents don't just talk. They query databases, update records, send emails and call your APIs.
Document intelligence
They read contracts, invoices, CVs and PDFs, then extract, compare and summarise accurately.
Data analysis
They turn raw exports into decisions: trends, anomalies and forecasts in plain language.
Deep integrations
They work with your CRM, ERP, Google Workspace, Microsoft 365, Slack, LINE, WhatsApp and custom systems.
Human in the loop
Approval steps for anything sensitive. You decide what runs automatically and what waits for sign-off.
Audit & observability
Every step, tool call and decision is logged, so you can always see what happened and why.
Not another chatbot
Chatbot, RPA or AI agent?
Chatbots talk and RPA follows scripts. Agents understand the goal, reason through exceptions and take action across your systems.
The cost of busywork
What is manual work costing you?
Move the sliders to estimate the hours and cost an agent team could hand back to your business each year.
Estimated annual savings
$0Estimate based on 48 working weeks. Actual results depend on the workflow.
Products
Ready-made AI products, built the same way.
Security & trust
Your data stays yours.
We build agents for the systems that run your business, so security is designed in from day one.
Least-privilege access
Agents only get the permissions their workflow needs, scoped per system and per action.
No training on your data
Your business data is not used to train AI models. It is used only to do your work.
Approvals & guardrails
Sensitive actions require sign-off, and hard limits stop agents from going off-script.
Full audit trail
Every action is logged and reviewable, ready for internal audit and compliance.
Built on Claude by Anthropic
Ways to work with us
Start small. Scale what works.
Three engagement models, each priced against the value the agents deliver.
Pilot sprint
Prove it in 4 weeks
One high-value workflow, built and tested on your real data, with a clear go or no-go based on measured results.
- Value map & workflow design
- One production-ready agent
- Evaluation report with ROI
- Fixed scope, fixed fee
Build & operate
Agents as a managed service
We build, host, monitor and improve your agents every month, and report the hours and revenue they deliver.
- Everything in Pilot
- Multiple agents & integrations
- 24/7 monitoring & monthly tuning
- KPI dashboard & quarterly reviews
Enterprise agent team
An AI workforce, org-wide
A coordinated team of agents across departments, with governance, SSO and deployment options to fit your security needs.
- Cross-department agent platform
- Dedicated solution team
- Custom security & data residency
- SLAs & executive reporting
FAQ
Questions, answered.
What exactly is an AI agent?
An AI agent is software that can reason about a task and take actions to complete it: reading documents, using your tools, updating systems and asking a human when it needs approval. Unlike a chatbot, it finishes the work.
Which AI model do you use?
Our agents are built on Claude by Anthropic, chosen for its reasoning, reliability with long documents and strong safety focus. Where it makes sense, we design for the right model per task.
How long does it take to go live?
Most first agents go from discovery to production in 3 to 6 weeks, depending on the number of systems involved and the approvals needed.
Will it work with our existing systems?
Yes. We integrate with common CRMs, ERPs, Google Workspace, Microsoft 365, Slack, LINE and WhatsApp, and we build custom connectors for internal systems.
Is our data safe?
Agents run with least-privilege access, every action is logged, sensitive steps need human approval, and your data is not used to train models.
How is this different from a chatbot or RPA?
Chatbots answer questions and RPA replays fixed scripts. Agents understand the goal, handle exceptions and messy inputs like PDFs and emails, and take actions across multiple systems. When the process changes, you update instructions instead of rebuilding.
Will AI agents replace our staff?
Our agents take over repetitive, rules-based work so your people can focus on customers, judgement and growth. Most clients redeploy capacity into higher-value work rather than cutting roles.
Do you support Thai and other Asian languages?
Yes. Our agents work in Thai, English and many other languages, and can reply to customers in the language they write in, on LINE, WhatsApp, Telegram, email or web chat.
How do you comply with PDPA?
We design every deployment to support compliance with Thailand's PDPA, Singapore's PDPA and India's DPDP Act: data minimisation, purpose limitation, access controls, retention rules and full audit trails. See our Security and Privacy pages.
What happens if the agent makes a mistake?
Sensitive actions go through human approval, agents operate within hard limits, and every step is logged so issues can be traced and corrected quickly. We run evaluation suites before every release to catch regressions.
How do you price?
Typically a fixed-scope build followed by a monthly fee to operate and improve the agent. We scope pricing against the savings the agent delivers, so the ROI is clear before we start.
Ready when you are
Put your first agent to work this month.
Tell our AI agent what slows your team down. It will scope the use case and book a call with our team.