Agentic AI engineering

AI agents that do
the work, not just
the talking.

SIZH designs, builds and runs agentic AI systems — custom agents, virtual sales and support agents, voice AI and process automation — that plug into your real tools and complete real work end to end.

Custom AI agentsWhatsApp & voiceRAG knowledgeProcess automation
50+countries served
342+marketplace product sales
4.9/5client review rating
8products shipped
Support agent · run #4812Active
TriggerWhatsApp message: “Where is order 20418?”
RetrieveLooked up order in ERP · found 2 records
ActFetched live courier tracking status
RespondReplied with ETA and tracking link
Escalate if neededNo handover required · logged to CRM
Resolved in 6s0 human touchesFully logged
We build with
CLAUDELANGGRAPHMCPWHATSAPP APITWILIO VOICEPGVECTORPYTHONLARAVELREACTAWS
Flagship product

SIZH Virtual Agent —
your digital sales &
support team.

One virtual agent trained on your business, live on WhatsApp, your website, voice and email. It answers in seconds, qualifies properly, books the meeting and resolves the repetitive work — then hands over to your team with full context.

01

Sales enquiry handling

Responds in seconds, qualifies against your criteria and books the demo before interest cools.

02

Customer support deflection

Resolves the repetitive majority from approved content and escalates the rest cleanly.

03

Virtual receptionist

Covers nights, weekends and peaks so no call or message is missed.

04

Appointment and service booking

Takes the booking, confirms it and sends the reminders.

  • Trained on your catalogue, pricing, policies and documents
  • WhatsApp, website chat, voice, email and social inboxes
  • Lead capture, qualification and meeting booking
  • Tier-1 support resolution with approved-source answers
  • CRM, helpdesk and calendar synchronisation
  • Human handover with a written conversation summary
WhatsApp Business APIVoiceRAGCRM syncWeb widget
Hire our team

Need engineers,
not a project?

Hire a dedicated AI, full-stack, mobile or DevOps engineer and buy hours in blocks. One week is our minimum — enough to ship a real prototype, not just a kickoff deck.

Sprint Week

40hours

1 week

Our minimum engagement. One dedicated engineer, full-time for a week.

Dedicated Month

160hours

4 weeks

A dedicated engineer embedded with your team for a full month.

Embedded Quarter

480hours

12 weeks

A dedicated engineer or small pod committed to your roadmap for a quarter.

Support Retainer

20hours

per month, ongoing

A reserved monthly block for maintenance, monitoring and improvements.

How we work

From one workflow
to production.

Agents fail when they are built as demos. We build them as systems — scoped, evaluated, monitored and owned.

Map the workflow

We pick one high-volume workflow, measure how it runs today and agree what success means in numbers.

Prototype on real data

A working agent on your actual data within weeks, so the decision is based on evidence rather than a pitch.

Harden and integrate

Guardrails, evaluation sets, escalation paths, permissions, logging and the integrations into your live systems.

Run and improve

We monitor quality, latency and cost, tune prompts and tools, and widen scope once the first agent is trusted.

Questions

What people ask us
before they start.

What is an AI agent, in practical terms?

An agent is software that is given a goal, a set of tools it may use and rules it must follow. Rather than answering one question, it plans the steps, calls your systems, and either completes the work or escalates with context. The difference from a chatbot is that an agent takes action.

How long does a first agent take to build?

A working proof of concept on your real data typically takes one to three weeks. A production deployment with integrations, evaluation and monitoring is usually four to ten weeks depending on how many systems it must touch.

Will the agent invent answers?

We build retrieval-grounded systems that answer from your approved sources with citations, and we test them against a fixed question set before launch. Where the agent is not confident, it says so and escalates rather than guessing.

Where does our data go?

We design the data boundary with you first. Options range from provider APIs with no-training commitments to deployment inside your own cloud account. Retrieval is permission-aware, so the agent cannot surface what a user may not see.

Can agents work with our existing systems?

Yes. Agents connect through APIs, webhooks, databases or RPA where no API exists. We have integrated CRMs, ERPs, helpdesks, calendars, payment systems and bespoke legacy platforms.

What does it cost to run?

Running cost is driven by conversation or task volume and the models used. We route each task to the cheapest model that passes your quality bar, cache aggressively and give you a cost dashboard, so spend stays predictable.

What is the minimum engagement for hiring a developer?

One week — a 40-hour block with a dedicated engineer. From there you can extend into monthly, quarterly or ongoing retainer arrangements.

Do we own the code?

Yes. You own all code, prompts, configuration and documentation we produce for you, and we hand over the repositories and infrastructure at the end of the engagement.

Start with one agent

Find the workflow that
an agent should own.

Book a 30-minute call. We will map one high-volume workflow, tell you honestly whether an agent is the right answer, and outline what a first build looks like.

Book a discovery call Hire a developer
  • No obligation, no scripted pitch
  • Talk to engineers, not account managers
  • One-week minimum engagement available