ALPHA LABZ
Service 01

AI Agents

AI agents that answer customers, qualify leads and process documents, trained on your own data, with a clean handover to your team when a human is needed.

The stack

The tools behind AI Agents.

The platforms we connect to, and the developer tools we build with. We pick what fits your project and document all of it.

AI models & agents

OpenAIOpenAIClaudeClaudeGeminiGeminiGrokGrokDeepSeekDeepSeekMistral AIMistral AIMeta LlamaMeta LlamaPerplexityPerplexityOpenAIOpenAIClaudeClaudeGeminiGeminiGrokGrokDeepSeekDeepSeekMistral AIMistral AIMeta LlamaMeta LlamaPerplexityPerplexity

Developer tools

PythonPythonTypeScriptTypeScriptFastAPIFastAPICursorCursorVS CodeVS CodeJupyterJupyterPyTorchPyTorchDockerDockerPythonPythonTypeScriptTypeScriptFastAPIFastAPICursorCursorVS CodeVS CodeJupyterJupyterPyTorchPyTorchDockerDocker
Signature · inbox triage

Every message, sorted in seconds.

Watch the agent read incoming messages, decide what each one needs and how sure it is, then answer, draft or hand over.

Incoming · example6 waiting

Maya · Website chat

“Where's my order #2291?”

Intent: Order statusConfidence97%

→ routing to answered automatically

The agent reads every message, works out what it needs and how sure it is, then answers, drafts, or hands over with the full context.

Answered automatically0

Clear question, answer in the docs

    Draft for review0

    Needs a person to approve

      Handed to a human0

      Sensitive or unusual

        Watch it work

        One agent. Every conversation.

        Pick a scenario and watch the agent handle it: it understands the request, uses your tools, follows your rules and replies in seconds.

        Try a live agent in the Lab →
        Example · Website chat
        1/4
        How it works

        From question to answer, live.

        Every request follows the same path. Packets show the request moving through the system.

        01 · Trigger02 · Context03 · AI step04 · ActionsCustomerchat · email · call✓AI agentunderstands + plans✓Knowledgedocs · policies✓Your toolsCRM · orders · calendar✓Guardrailsrules · limits✓Answerin seconds✓Your teamhandover + summary✓
        Now running

        Answer

        A clear reply in your brand voice, with the action already done.

        Run log · exampledone ✓

        • ●TriggerCustomer
        • ●ContextAI agent
        • ●AI stepKnowledge · Your tools · Guardrails
        • ●ActionsAnswer · Your team
        Under the hood

        How an answer is made.

        Each step is logged, so you can see exactly why the agent said what it said.

        Example

        My order arrived damaged. Can I get a refund?

        Sorry about that! Order #48213 qualifies for a free replacement. I've started it, and the tracking link is on its way.

        Total time

        0.00s

        1. UnderstandIntent: refund request · confidence 0.97—
        2. Look upOrder #48213 · delivered Tuesday—
        3. KnowledgeReturns policy §2 · damaged on arrival—
        4. RulesRefund under limit · no approval needed—
        5. ActReplacement created · RF-90412—
        6. ReplyAnswer written in your brand voice—
        7. CheckNo personal data leaked · tone OK · sent—
        What we build

        Five agents, one platform.

        Scroll through the jobs an agent can take off your team's plate.

        01/ 05

        Customer support

        Answers from your docs and past tickets, 24/7.

        Chat · resolvedLive
        • ✓Where is my order?
        • ✓Arriving tomorrow before 6 pm.
        • ✓Sources: Orders, Shipping policy

        Example

        02/ 05

        Lead qualification

        Asks the right questions and books the call.

        New lead · score 86Live
        • ✓Company: 3 clinics
        • ✓Need: booking app
        • ✓Booked: Thu 11:00

        Example

        03/ 05

        Email & documents

        Reads invoices and forms, fills your systems.

        Invoice_Oct.pdfLive
        • ✓Total: 1,240.00
        • ✓Due: 30 Nov
        • ✓Status: waiting for approval

        Example

        04/ 05

        Voice agent

        Takes calls, books and reschedules.

        Call · 1m 12sLive
        • ✓Rescheduled to Fri 15:30
        • ✓Confirmation text sent
        • ✓Summary saved to CRM

        Example

        05/ 05

        Human handover

        Hands tricky cases to your team with context.

        Handed to SaraLive
        • ✓Reason: complaint
        • ✓Summary attached
        • ✓Customer told: reply in 1 hour

        Example

        Industries

        Built for how you work.

        Connects to your tools

        Works inside the tools you already use.

        Inbox, chat, CRM, store and calendar. The agent reads and acts with the permissions you choose, nothing more.

        Source connect

        Docs, helpdesk, CRM and store, read with permission.

        Action runner

        Books, refunds, updates and replies inside your tools.

        Approval gate

        Anything risky waits for a person to say yes.

        Audit log

        Every step recorded, so you can see why it acted.

        GmailWhatsAppHubSpotShopify
        Google CalendarSlackNotionStripeZendeskOutlook
        AI agent
        Build · Launch · Improve

        How we deliver your agent.

        Trained on your business

        • ✓We load your docs, products and past conversations
        • ✓Set the rules: what it can do and when to hand over
        • ✓Connect your tools with the permissions you choose

        Knowledge sourcesExample

        • Help-centre articles128 pages
        • Product catalogue1,240 items
        • Past support tickets6 months
        • Refund rulesunder 200 auto
        What you getHandover pack · AI Agents
        • ✓Full source code in your accounts
        • ✓Tests and documentation
        • ✓Deployment to your hosting
        • ✓Handover call and video walkthrough
        • ✓30 days of fixes and tweaks

        Yours from day one

        Code · Docs · Accounts · Data

        Built with
        OpenAIClaudeGeminiGrokDeepSeekMistral AIMeta LlamaPerplexityHugging FaceLangChain

        We choose tools that fit your project and your team, and document everything so anyone can maintain it later.

        Studio work

        Related concept

        Our own product in this area, built the same way we'd build yours.

        FAQ

        AI Agents: common questions.

        1Will it make things up?+

        We ground answers in your own content, add guardrails, and route anything uncertain to a human.

        2Can it use our tools?+

        Yes. Agents can read and write to your CRM, helpdesk, email or database with the permissions you choose.

        3Can we see one working?+

        Yes. The chat in our Lab is a small example of a support agent.

        Booking our first projects

        Got an idea? Let’s build the first version.

        Startup, shop or software team: tell us what you want to build. You get a working prototype in about a week, and pricing is agreed on the call.

        NDASigned on request
        IPYou own the code
        7dFirst prototype

        What do you want to build?

        Describe it in a sentence. A founder reads every message.

        Enter to send