Your data. Your decisions. Finally connected.

The AI agent built for any enterprise

Otello ADP is the intelligent agent layer built on top of Otello's unified enterprise data infrastructure — Hotech's proven, cloud-based, fully integrated data backbone for enterprises across hospitality, retail, manufacturing, and beyond. Where Otello gives your organization a single, real-time source of truth, Otello ADP gives every person who works with your data a natural way to talk to that data — and, when needed, act on it safely.

No dashboards to learn. No reports to request. No query language. Just ask, in your own words, in your own language.

Works in English, Türkçe, العربية — and more.

What makes Otello ADP different

Seven things that separate a real agentic data platform from a chatbot bolted onto a database.

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Built on real infrastructure, not a bolt-on chatbot

It reasons over your actual live operational data — every transaction, record and ledger entry — not a stale nightly export. With 190+ AI-callable tools covering the full breadth of enterprise operations, it can reach exactly what a power user can.

Human-approved action, always

ADP will read anything it's permitted to, instantly. But every change it proposes enters a review queue and executes only after a person confirms it — and it can only propose what that person is already allowed to do. Sensitive operations require a supervisor's sign-off: separation of duties, built in.

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Knowledge that grows with your organization

Hand ADP a document mid-conversation — SOPs, brand standards, policies, FAQs, even a video — and it ingests that knowledge instantly. Your playbook becomes part of how it reasons.

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One interface, every department

From finance and procurement to operations and analytics, ADP moves fluidly across all of them in a single conversation, instead of forcing staff to switch between modules and re-learn each one.

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Truly multi-tenant & multi-property

One location or a group portfolio. A manager switches between the locations they're entitled to mid-conversation; every answer and action stays scoped to the right entity.

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Cost-efficient by design

Routine reasoning runs on lean, purpose-tuned models and escalates to a premium model only when a task genuinely needs it. Repeated queries cache their answers, so recurring questions cost near-zero.

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Meets your team where they already work

A chat window inside your apps, an embeddable web assistant, a custom Claude connector, or a direct connection to the AI tools your people already use. SDKs for Java, TypeScript, Python and Go.

What you can ask

Real questions, organized by process area — the cross-department, analytically deep ones that a standard report or dashboard cannot answer. Pick a category.

What it's worth

Otello ADP is in production today. The figures below are directional estimates, built from the mechanics of the work being replaced and stated so you can test them against your own operation. Substitute your own numbers and the logic still holds.

1. The reporting and audit burden — the clearest saving

Most groups carry people whose month is consumed by assembling numbers that already exist. Occupancy, revenue, sales, invoicing, forecast, collections and P&L are answered on demand from live data instead — and the same briefing can be composed automatically and emailed on a schedule.

Typical todayWith Otello ADP
Monthly group reporting cycle3–5 working daysHours
Time from question to answerDays (queued as a request)Seconds
Recurring audit checksSampled, after the factContinuous, on demand
Analyst effort: assembling vs interpreting~70 / 30~10 / 90

50–70% of reporting and audit-preparation effort released. Assumption: a group of 10+ properties where 1–3 people spend a material share of each month on consolidation. The point is not headcount reduction — it is that experienced analysts stop assembling numbers and start questioning them.

2. Revenue — decisions taken while they still matter

Revenue is lost less to bad decisions than to late ones. Rate inconsistencies, comp abuse and channel discrepancies surface in days instead of at month-end close.

1–3% RevPAR — driven mostly by errors caught early rather than by cleverer pricing.

3. Cost and leakage — a wider net, continuously

Transaction anomalies, procurement wastage and shrinkage, aging receivables, and staffing against actual demand — asked whenever you want rather than sampled at audit.

0.5–2% of controllable operating cost, concentrated in leakage current reporting cadence cannot see.

4. Operational efficiency — time returned to the floor

No navigating modules to find a guest history, folio or room status. No training staff on each module separately. No manual reconciliation between systems.

20–40% less time spent locating information, in roles that consult data repeatedly through the day.

5. What it costs to adopt — deliberately low

No system replacement — ADP reads the Otello data you already run, and nothing is migrated. No retraining programme: the interface is a conversation. No new authority granted. It can run entirely inside your own data center, language model included.

How to test these numbers: don't take them on trust. Pick the report your team spends the most time on each month and ask ADP for it on your own live data. The reporting saving is measurable in a single session — and it is the one that funds everything else.

Under the hood — for the technically curious

Otello ADP's engine is Ogent (Otello Agent), the platform that connects a modern AI model to Otello safely and completely.

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It speaks Otello's full language

Ogent exposes Otello's operations to the AI as a large library of well-defined, governed actions covering essentially every read and write across the ERP — so the agent isn't limited to a handful of canned questions.

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Security is inherited, not reinvented

The AI never sees your database or bypasses your rules. Every request runs as the logged-in user, under Otello's own permission matrix and scope. Writes add a second gate: propose → human approval → execute.

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It's model-flexible

Run on managed frontier models (e.g. Claude) or Hotech's own self-hosted models, routing each request to the right tier for the job — the foundation of its cost-efficiency.

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It fits your stack

Open, standard interfaces: add it to AI assistants as a custom connector, embed it as a chat widget, or call it from your own apps via ready-made SDKs.

What Otello ADP means for each of you

The same platform reads differently depending on where you sit.

👨‍💼 Business owners & executives

See the real picture without waiting on a report or an analyst. Ask a direct question, get a direct, evidence-based answer drawn from your own numbers.

📊 Department heads & managers

Catch inconsistencies before they erode performance. Model scenarios, and get an honest read on what your data actually shows — including when it's uncomfortable.

🧑‍💼 Frontline staff

No more digging through screens. Ask, and act — verify data, flag issues, update records — in the flow of normal work, without a training course.

👥 Customers & partners

Better visibility into their interactions. Faster service. Personalized recognition and accurate data instead of manual error.

🤝 Business partners

Cleaner, more consistent data exchange, and a partner whose operations are governed by one accurate system rather than fragmented spreadsheets.

📦 Suppliers & vendors

Visibility into patterns feeding directly from real operational data, reducing the back-and-forth of manual reconciliation.

The bottom line

Otello ADP doesn't replace your team or your systems — it makes both faster to work with, and harder to fool. It's the difference between having data and actually using it.

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