Copilot summarises your emails. Einstein writes your CRM notes. Joule gives you HR policy on demand. None of them know who’s in the room, what their role sees, or what decision they are about to make. The telé does.
Every answer she gave you was drawn from a live star-schema warehouse — 167 tables, 5 conformed hubs, scoped to the exact seat. Not a wrapper on a foundation model. A platform with a declared vocabulary, certified reports, and a semantic data layer your incumbent vendors don't touch.
Every fact table — pipeline, revenue, talent, delivery, client health — joins through one of these five hubs. A CFO asking about margins and a Regional MD asking about delivery both draw from the same source of truth, scoped to exactly what their role can see. Not personalised. Role-scoped. There is a difference.
135 certified reports, SQL-verified, rendered from live data. The brain composes from a declared vocabulary. When a leader asks about Q3 margins, they get the number — not a confident approximation of it.
Every AI demo you have ever seen guesses. You just watched one that doesn’t. Here is the line every answer falls on — and exactly where the telé sits.
Even our improvisation is built from a declared vocabulary — so the off-menu answer lands on the right of the line too.
The same verified voice that paints your margin from the warehouse also reaches across your CRM, ERP, service desk, HR and finance — and past them, into the live world. One reach. One standard. No migration.
Internal systems on solid links · the live world via the open MCP standard · deploy once, own the capability.
Your Salesforce contract, your OpenAI agreement, your Workday data — this platform sits across them, not inside any one of them. Swap the brain without touching the glass. Add a system without rebuilding the experience.
Azure, AWS, or GCP. Your own data centre. Pure SaaS, dedicated, or fully isolated. The telé runs wherever your data lives and wherever your compliance posture demands.
The fastest path from decision to production. Multi-tenant, fully managed, automatic updates. Pay by the minute — no capacity planning, no ops overhead.
A single-tenant deployment on our infrastructure, isolated at the compute layer. Your data stays in your chosen region, on your chosen cloud. Fixed capacity with guaranteed performance.
Fully deployed into your VPC, your Azure subscription, or your GCP project. We deploy, you own the infrastructure. No shared control plane. Air-gappable. Sovereign-cloud ready.
The incumbents need a discovery phase before they start discovery. We put something real in front of your stakeholders in a morning — and production-ready in the time it takes to approve an SOW.
Your use case, your content, your branding — configured and running. Not a slide deck about what it could do. Something your leadership can actually ask a question of.
Scoped to your highest-value use case. A working platform, a quantified business case, a deployment plan. Everything you need to walk into the boardroom with conviction.
Real data, real users, a measurable outcome you can point to. Not a pilot that lingers. A production system with a number on it and a roadmap behind it.
The mechanism is structural, not aspirational. A voice intelligence platform compresses expert time, eliminates the deck-to-decision cycle, and deploys your best people and best content simultaneously across every conversation in the organisation. That is not an efficiency gain. That is a different curve entirely. Take the dataset under this very platform: Momentum Group, a 3,269-person professional services firm with 19 leadership seats. At six hours per week of briefing preparation, those leaders recover approximately 5,900 hours in year one — before the second-order gains from faster decisions. Full ROI model and deployment assumptions available on request.
The same platform, the same architecture, the same three firms — trained on a different vantage, pointed at every layer of the organisation that makes a consequential decision.
Nineteen roles — board through regional MD — each with a scoped view of one source of truth. 135 certified reports. Unlimited ad-hoc briefings. The telé has no memory of your last chatbot — or your last vendor.
The managers who own the number, the headcount, and the week. Same glass, their vantage, their decisions. The C-suite gets clarity. The management layer gets agency. Neither waits for a dashboard refresh.
Every rep with the same answer your best rep would give — live deal intelligence, competitive context, methodology coaching in the language your firm actually uses. Not a CRM summary. A thinking partner with a pipeline view.
We call it agentic osmosis — the quality of your best people's thinking, diffusing through every layer of the organisation that acts on it.
A leadership intelligence platform needs three things in equal measure: a platform that is genuinely built for the problem, a delivery organisation that can make it real inside a complex enterprise, and a conversational AI spine that already performs at the scale your ambition requires. We assembled exactly that.
A regenerating user interface — the screen composes itself around each question and answers live, not a dashboard to navigate. It fills the AI stack's largest gap, adoption: the models got smart, but the people never showed up, so the ROI stayed on the slide. Give AI an interface a leader will actually use, and the return finally lands. The UI for AI.
10,000 engineers. 45 offices. 30 years of enterprise delivery. The firm that has implemented more complex systems inside more complex organisations than any comparator. Thoughtworks AI Works turns a live demo into a live deployment — data pipelines, integrations, change management, and the rollout that makes the ROI real, not projected.
Gartner-recognised as the world's leading enterprise conversational AI platform. Teneo powers enterprise voice at a scale and accuracy incumbents cannot match — every channel, every language, every edge case that a million production conversations eventually finds. The voice your telé uses is not new to enterprise. It is the one enterprise already trusts at scale.
We built this together because the leaders we serve do not have time to integrate three vendors. They have time for one conversation — and that is exactly what we give them.
Every enterprise AI vendor will tell you they are open. Read the contract. We built the architecture so the openness is structural — not a feature they can deprecate in a roadmap update.
Run on Claude, GPT-4o, Gemini, Llama — or whatever model wins the next benchmark. Your contract with Anthropic or OpenAI, your cost structure. When the model landscape shifts — and it will — you move in a configuration change, not a replatform.
Every certified report is SQL-verified and pre-built. The brain composes from a declared vocabulary of cards and layouts. A leader asking about Q3 margins gets the number — not a confident paraphrase of what the number might be.
GDPR, CCPA, consent management, right to erasure, data residency, role-scoped access — structural decisions baked into the schema, not compliance checkbox features bolted on after the fact.
Consent required before any memory is written (Art. 7). Name rectification via set_attribute (Art. 16). Right to erasure confirmed by email, with an audit record that outlives the deleted data (Art. 17). Data portability on demand via the /customer/export endpoint (Art. 20).
Right to know, right to delete, right to opt out of sale — all exercisable through the same erasure and export endpoints that serve GDPR. No separate CCPA code path required. A single compliance architecture serves both regimes.
Three explicit consent types: memory_retention, transcript_storage, llm_summarization. The platform cannot write a memory without an active grant. Revocable by voice or API. Each grant and each revocation is time-stamped and stored.
All connections over TLS 1.2+. Customer data encrypted at rest in Postgres. RBAC scoping means a role sees only the rows it is entitled to — enforced at the query layer inside identify_as on the MCP server, never on the client.
Every erasure event — user request, automatic retention purge, or telé offboard — writes to platform.erasure_log with timestamp, trigger, and outcome. This record persists under GDPR Art. 17(3)(b). Your compliance officer can audit every deletion event, even after the data is gone.
Default: 30-day transcript retention, 365-day session retention — configurable per telé deployment. Auto-purge runs nightly. RBAC is enforced inside identify_as on the data MCP — not client-side, not forgeable. A seat sees exactly what its role permits. Nothing more.
The platform above is live — Momentum Group, a telé in production, 135 certified reports, a real star schema behind every answer. Go back. Try a different role. Ask about pipeline, margins, talent attrition, competitive position. Push it.
When you are ready to talk about a client — their systems, their leadership team, their use case — reach out. In three hours we will have something they can talk to. In three days we will have a business case they can take to the board. That is not a promise. It is the 3/3/3 model working exactly as designed.
Catherine takes your name and email by voice and paints the confirmation on the glass — no spam, one human follow-up. Three hours to a prototype. Three days to a business case. Three weeks to production.