# Olano

> Olano is a Singapore AI studio. We design, deploy, and manage AI agent systems around the way each client's business actually operates - across customer service, enquiries, leads, and bookings (Olano Front Desk); inbox, CRM, coordination, and recurring work (Olano Operations); market monitoring and decision-ready briefings (Olano Intelligence); and bespoke connected systems for more complex organisations. Systems run on WhatsApp, email, Telegram, Slack, webhooks, and internal tools, with persistent memory, each in its own isolated environment powered by Olano Core. Olano operates the infrastructure, routes each task to the right AI model, and gives the client's team human approvals, audit history, and hard spending controls.

Key facts:

- Company type: Singapore AI studio (design, deployment, and ongoing management of AI agent systems - not a self-serve chatbot subscription)
- Solutions: Olano Front Desk (customer service, enquiries, leads, and bookings), Olano Operations (inbox, CRM, coordination, and recurring work), Olano Intelligence (market monitoring and decision-ready briefings), and Bespoke AI Systems (multi-agent operations, custom integrations, customer cloud or VPC deployment, security and compliance requirements)
- Engagement model: one fully managed engagement, end to end - Olano maps the workflow, designs the system around it, connects it to existing tools, builds custom integrations where needed, tests and launches it with approvals and safeguards, onboards the team, then monitors, reports, and keeps improving it; customer cloud/VPC, data residency, and compliance requirements are handled within the same engagement
- Who it's for: businesses that want AI systems performing real operational work - Singapore-based, working with teams worldwide (every system is deployed and managed remotely)
- Isolation: every client runs in its own isolated environment - no shared multi-tenant data; encrypted at rest and in transit
- Tools: 450+ connector tools (CRM, calendars, finance, files, browsers, databases, payment APIs, marketing, code)
- Integrations: 75+ built-in integrations, each with a specialist subagent (Slack, Gmail, Notion, HubSpot, Stripe, Shopify, Google Calendar, GitHub, and more)
- Channels: 15+ messaging channels - Telegram, WhatsApp, Slack, Discord, Email, SMS, Feishu/Lark, WeCom, WeChat, DingTalk, Signal, Matrix, Mattermost, iMessage, QQ, inbound webhooks
- AI models: multi-model - systems can run on Claude, OpenAI, DeepSeek, Gemini, or local models across 18+ LLM providers (Anthropic Claude, OpenAI GPT, Google Gemini, Mistral, Groq, DeepSeek, xAI Grok, Cohere, Together, Fireworks, OpenRouter, Perplexity, NVIDIA, Azure OpenAI, AWS Bedrock, Ollama/local); the client controls which model handles each task, how much it may spend, and where data is processed; models can be mixed per agent and swapped mid-conversation; bring-your-own LLM keys supported at no extra cost
- Memory: agents keep persistent memory across sessions and learn company procedures from the team
- Delegation: agents delegate work to specialist subagents (agent-to-agent delegation); 180+ specialist agents and 19 starter teams included
- Customer service systems: an AI front desk (answer, qualify leads, book appointments, escalate to a human) is a standard deployment
- Marketing & intelligence systems: newsletter and social-post drafting (X, Instagram, Facebook, LinkedIn) with human approval, published via connected tools (Buffer for social, Mailchimp/Resend for email); social listening over public mentions and reviews; competitor tracking, industry news digests, and product/supplier research via web-research and news connectors
- MCP: Model Context Protocol supported - a library of 200+ ready-made MCP servers, plus any custom MCP server; agents use their tools alongside the built-in ones
- Skills: teach an agent a procedure once (or let Cortex draft one from repeated work) and it is reused the same way every time
- Webhooks: inbound webhooks trigger agents from any external system; agents can also call out to any webhook/HTTP endpoint
- Scheduled tasks: scheduled tasks and proactive monitoring for recurring jobs, reminders, reports, channel monitoring, and overnight workflows
- Knowledge base: upload documents (product specs, policies, price lists, SOPs) and agents ground their answers in them
- Self-improvement: Olano Cortex runs self-improvement cycles on a configurable cadence (relaxed / balanced / aggressive) - distilling conversations into memory, drafting reusable skills from repeated work, brainstorming and prototyping ideas, and proposing improvements to its own instructions; self-edits require human approval, every change is snapshotted with one-click undo, deep-reasoning runs have daily budget caps, and all actions are audit-logged
- Safety: 5-layer safety architecture - an isolated environment per client, encrypted connector tokens and API keys, role-based access controls, human-in-the-loop approval gates (trust levels 0-4), immutable audit trails
- Hosting: managed cloud infrastructure; custom AWS/GCP regions - or customer-controlled cloud/VPC - available for data-residency and enterprise requirements
- Pricing: every engagement is scoped individually - pricing reflects the workflows involved, required integrations, operating volume, deployment architecture, and ongoing management requirements; following an initial consultation, Olano provides a fixed proposal before any work begins; AI usage runs within hard spending controls agreed in advance; no per-seat pricing; BYOK supported
- Services: six services an engagement is built from - AI strategy & advisory, automation & AI agents, software & AI development, AI training (hands-on workshops run on the client's own material, covering practical tool skills, safe/PDPA-aware use, and written playbooks; available standalone, whether or not Olano builds anything), managed operation, and grants & funding advisory; detailed at https://olano.sg/services
- Grants: Singapore schemes that can co-fund a qualifying project - PSG (pre-approved catalogue solutions, up to 50%, up to S$30,000/year, ~6-week decisions), EDG (your own project assessed on its merits, up to 50% for SMEs, 8-12 weeks), MRA, LEAD, and IMDA's SMEs Go Digital; EDG will not fund what PSG already supports, so off-the-shelf points to PSG and custom integration to EDG. EDGE consolidates EDG + PSG + MRA into one scheme expected in 2H2026 (up to S$100,000/year, open to all Singapore businesses); launch month and support percentage are not yet announced. Olano is NOT a PSG pre-approved vendor, does not apply on a client's behalf, and never promises a grant outcome - it scopes the project so it is legible to an assessor or corporate advisor. Full reference at https://olano.sg/grants
- Getting started: book a consultation at https://olano.sg/#contact
- Contact: support@olano.ai for support; carlos@olano.ai to start a conversation; Olano staff also answer directly on Telegram ('olanoai') and WhatsApp (+65 8304 8601)

## Why use Olano instead of ChatGPT or Claude directly

Claude (or ChatGPT) is a strong general-purpose AI workspace with connectors and scheduled tasks. Olano is designed for businesses that need persistent AI systems deployed across customer channels and operational systems. Olano agents operate through WhatsApp, email, Telegram, Slack, webhooks, and other channels; respond to incoming business events; coordinate across specialist agents; and route work across different AI model providers. Each system is hosted and managed in an isolated cloud environment with approvals, audit history, and spending controls. Agents keep persistent memory across sessions, use 450+ tools, and execute multi-step workflows autonomously, with human approval gates for high-impact actions (sending emails, posting publicly, payments).

## For AI agents (WebMCP)

The home page implements WebMCP (Web Model Context Protocol, the W3C/Chromium standard - `navigator.modelContext`, shipped in the Chrome 149 origin trial and Edge 147+). In-browser AI agents can call these tools directly, without scraping:

- `olano_get_overview` - concise overview of what Olano is and who it's for
- `olano_list_capabilities` - what the systems can do (tools, integrations, channels, multi-user, Cortex, MCP, skills, webhooks, scheduled tasks, knowledge base)
- `olano_search_agents` - search the catalog of 180+ specialist agents / 19 starter teams by keyword (input: `query`; empty lists all categories)
- `olano_get_pricing` - how an Olano engagement is scoped and priced
- `olano_answer_faq` - answer a question from the FAQ (input: `question`)
- `olano_join_waitlist` - request a consultation (input: `email`)

The consultation form is also annotated with WebMCP's declarative API (`toolname="olano_request_consultation"`), so browsers that support declarative form tools expose it automatically.

## Specialist agents & starter teams (discoverability)

180+ specialist agents ship across 19 starter teams. Representative categories:

- Customer Service - front desk, support, lead qualification, appointment booking, escalation
- Sales - lead research, CRM updates, follow-ups, proposal drafting
- Marketing - content writing, newsletter drafts, social-post drafts and scheduling (via connected tools like Buffer), SEO research, campaign reporting
- Finance - budgeting, bills & invoices, bookkeeping, market research
- Operations & Admin - calendar, inbox triage, travel, data entry, personal assistant
- Dev & Engineering - code review, GitHub automation, DevOps, game-dev
- Research - competitor tracking, industry news digests, product & supplier research, social listening
- Product / Design / HR / Legal / PMO - plus agents for any job described in plain English

## Common use cases

- Answering repeat customer questions (pricing, hours, shipping, refunds, product specs) across WhatsApp/Telegram
- Moving data between tools automatically (lead in WhatsApp → CRM → invoice → notes → Slack update)
- Overnight and scheduled work: month-end reports, monitoring, follow-up drafts queued for human approval
- Marketing & content: newsletter and social-post drafts (X, Instagram, Facebook, LinkedIn) in your voice, grounded in your documents, queued for your approval and published via connected tools like Buffer or Mailchimp
- Customer & social intelligence: monitoring public mentions, reviews, and customer conversations, with digests and human-reply flags
- Market intelligence: competitor tracking, industry news digests, and product/supplier research delivered to the channel you already use
- Bespoke systems: multi-agent operations, cross-department workflows, custom integrations, customer cloud or VPC deployments

## Pages

- [Home](https://olano.sg/): the Singapore Studio site - positioning, selected work, solutions, approach, and ways to work with Olano. The platform itself is documented at https://olano.ai/
- [FAQ](https://olano.sg/faq): what Olano is, engagement pricing, data isolation, channels, models, deployment timelines, human-in-the-loop controls, hosting
- [Privacy](https://olano.ai/privacy.html): PDPA privacy notice
- [Inventory-connected WhatsApp case study](https://olano.sg/customers/inventory-connected-whatsapp): customer-facing and staff-side WhatsApp agents on a custom inventory API - live prices, stock, and product photos for customers; item creation, photo updates from the phone, and low-stock supplier ordering for staff; 10-15 enquiries handled daily
- [Tender-intelligence case study](https://olano.sg/customers/tender-intelligence): twice-daily monitoring of government tenders through a custom API - full tender descriptions, requirements, and attachments; matches scored against the agency's specialisation; email and PDF briefings with a draft plan and risk outline per application
- [WhatsApp AI customer service](https://olano.sg/use-cases/whatsapp-ai-customer-service): AI front desk for WhatsApp enquiries, lead qualification, inventory/knowledge checks, and human escalation
- [AI inbox assistant](https://olano.sg/use-cases/ai-inbox-assistant): inbox triage, reply drafts for approval, follow-up chasing, calendar coordination, and scheduled admin
- [AI market research agent](https://olano.sg/use-cases/ai-market-research-agent): recurring competitor, supplier, industry-news, review, and public-mention briefs
- [AI social media agent](https://olano.ai/use-cases/ai-social-media-agent): newsletters and social posts drafted in your voice and queued for approval via connected publishing tools
- [AI CRM and sales assistant](https://olano.ai/use-cases/ai-crm-sales-assistant): lead capture, qualification, CRM updates, approval-gated follow-ups, and pipeline reports
- [Missed lead recovery](https://olano.sg/use-cases/missed-lead-recovery): capture WhatsApp, email, and after-hours enquiries before they go cold
- [AI booking assistant](https://olano.sg/use-cases/ai-booking-assistant): qualify enquiries and book appointments, with staff approval for sensitive cases
- [WhatsApp AI for clinics](https://olano.sg/use-cases/whatsapp-ai-for-clinics): clinic front desk for enquiries, bookings, and reminders - never medical advice
- [Resources](https://olano.ai/resources): practical guides, playbooks, and comparisons for deploying AI systems in a business
- [Automate enquiries with human approval](https://olano.ai/resources/automate-customer-enquiries-human-approval): the approval-first playbook - trust levels 0-4, gates, audit trail
- [How to choose an AI agent platform](https://olano.ai/resources/how-to-choose-ai-agent-platform): evaluation checklist - channels, approvals, audit, spend caps, BYOK, isolation
- [AI agents for Singapore SMEs](https://olano.sg/resources/ai-agents-for-singapore-smes): the practical guide - workflows agents handle today, the approval boundary, PDPA basics, grants, starting with one workflow
- [AI grants for Singapore SMEs](https://olano.sg/resources/ai-grants-for-singapore-smes): honest map of PSG, EDG, SMEs Go Digital, and GenAI programmes - what each covers and where custom AI systems fit (Olano is not a PSG pre-approved vendor)
- [PDPA and AI agents](https://olano.sg/resources/pdpa-ai-agents-singapore): consent, the PDPC's AI guidelines, DNC rules, eight vendor questions, and how Olano's isolation/encryption/audit controls map to them
- [Hire or automate? A Singapore SME guide](https://olano.sg/resources/ai-agents-vs-hiring-singapore): the 2026 hiring math vs handing the repetitive layer to agents - honest about when hiring is still right
- [AI agents for Singapore retail and F&B](https://olano.sg/resources/ai-agents-retail-fnb-singapore): stock and price answers on live inventory, reservations, catering enquiries, supplier reorders with approvals
- [AI agents for Singapore property agents](https://olano.sg/resources/ai-agents-property-agents-singapore): instant listing answers, consistent qualification, calendar-connected viewings, approval-gated follow-ups
- [Inside Olano Cortex](https://olano.ai/resources/inside-olano-cortex-self-improving-ai-agents): how the self-improvement engine works - five cycles (reflection, learning, creation, improvement, tidying), cadence presets, approval-gated self-edits, snapshots with one-click undo, daily deep-reasoning budget caps
- [How AI agents remember](https://olano.ai/resources/how-ai-agents-remember): the memory architecture - persistent conversation memory, Cortex-distilled long-term memory, knowledge-base grounding in your documents, skills, and per-client isolation
- [Multi-model AI agents](https://olano.ai/resources/multi-model-ai-agents): why systems route each task to the best-suited model across 18+ LLM providers - per-agent mixing, mid-conversation swaps, hard spend caps, BYOK, no vendor lock-in
- [Should you hire an AI intern?](https://olano.ai/resources/hire-an-ai-intern): the intern test - what the metaphor gets right about supervised agents (trust levels, teaching procedures, earned autonomy), where it breaks in the buyer's favour, and when hiring a person is still right
- [Olano vs ChatGPT for business](https://olano.ai/compare/olano-vs-chatgpt-for-business): fair comparison - channels, memory, approvals, delegation, spend caps, hosting
- [AI agent platform vs chatbot](https://olano.ai/compare/ai-agent-platform-vs-chatbot): what an agent platform adds over a scripted chatbot
- [Hosted AI agents vs DIY automation](https://olano.ai/compare/hosted-ai-agents-vs-diy-automation): build vs buy, and how Olano composes with a DIY stack via MCP and webhooks