Four in five companies use generative AI. Four in five report no bottom-line impact — McKinsey calls it the “gen-AI paradox.” Copilots answer questions; they don't change the P&L. The shift that does is agents that run the workflow end to end, with a human on top — and quoting is the highest-value workflow in telecom.
Language models crossed from autocomplete to autonomous tool-use. Multi-agent systems can plan, decide and act — reliably enough for money.
Connectivity is commoditising; every discount point is scrutinised. CXOs must quote faster and protect margin at the same time.
Buyers describe what they need — they don't navigate a wizard. The winning CPQ disappears into the conversation.
Rule-based configurators price from static rate cards, one product at a time. A complex telecom deal — access, CPE, overlay, cloud security, across suppliers and SLAs — takes weeks of manual work. And the deal you win still leaks.
Quoting that took weeks now takes minutes. Leakage closes at its source. Margin holds because the floor is enforced, not remembered.
From a plain-language brief to a compliant, priced, buildable quote — the agents do the work, you approve the outcome.
Plain words in. The copilot extracts sites, products and requirements — grounded in your catalogue.
Agents design the network, check feasibility, rank options and compose the bundle across every site.
Live supplier economics, margin floors and the discount waterfall — priced from the live rate card at quote time, not a saved snapshot.
A compliant quote, a network digital twin and an auto-generated build pack — auditable end to end.
Every deal is handled by a crew of specialist agents — one for each decision that can win or lose it — grouped into the six roles below and orchestrated as a single decision engine, all grounded in your live catalogue. They converse, reason and act; you approve.
From the captured requirement, Ambient reads config, catalogue and live feasibility and computes the real fabric — hub-spoke, dual-hub or mesh, auto-selecting hubs and links. A live network digital twin, and the build pack with it.
Not a “customers also bought” widget. Real machine learning: one model designs like your best architect, another protects every point of margin — bootstrapped from your catalogue and imported quotes on day one, then sharpening with every deal you close.
Collaborative + content-based. Encodes each deal into a feature vector, computes similarity across your entire quote history, and weighted-votes the best-fit SLA, redundancy, CPE, access and bundle.
Win-probability and optimal-price models, deal scoring, scenario analysis, negotiation guidance and anomaly detection — the pricing desk, always on.
Every quote is priced from the live rate card and supplier interface at quote time — not a saved snapshot, so pricing can't silently drift out of the deal.
A multi-site, multi-supplier deal has thousands of valid ways to configure and price it. Ambient explores them in parallel, validates every candidate through a 13-gate framework, scores the survivors on cost, reliability, diversity and risk — then compresses to the handful you'd actually send. Recommendation, ranking and what-if, in one high-throughput pass.
Same acronym, different species — a form factory versus a reasoning system.
| Dimension | Legacy CPQ | Ambient · Agentic Quote Intelligence |
|---|---|---|
| Paradigm | Configure a form | Converse · Reason · Act |
| AI core | None, or AI bolted on after the fact | Neuro-symbolic — neural intake, symbolic decisions |
| Architecture | A monolith of admin rules | 16-service multi-agent mesh, orchestrated per deal |
| Recommendation | Static rules, hand-maintained | ML recommender over your quote history |
| Pricing | Static rate cards, corrected after the fact | Real-time, governed, win-aware |
| Network design | Spreadsheets & Visio, by hand | Generative digital twin + build pack |
| Governance | Manual, after the fact | Floors, gates, maker-checker, full audit trail |
| Learning | None — it can't improve | Closed-loop flywheel on your data |
This isn't a feature race. Each advantage compounds — so the gap grows the longer you run it, and the harder it is for an incumbent to close.
Closed-loop learning on your proprietary quote history. Every deal sharpens the next recommendation — time is on your side, not the incumbent's.
Logic lives in data, not code. You out-iterate incumbents who ship business logic in quarterly releases — a change is a catalogue edit, not a project.
An AI-native, agentic build process. The platform improves as fast as the models it's built on — the gap widens release over release.
Unedited product recordings. The copilot takes a plain-language brief and quotes a multi-site SD-WAN estate end to end — network designed, priced and assembled, with a full site breakdown. No slideware, no cuts.
These figures size the problem — every one attributed to public research, not to us. The proof that Ambient solves it is a live demo — book one and watch it quote a real multi-site deal on your own catalogue.
Four principles hold every quote: Agentic · Deterministic · Explainable · Governed. Agentic where it's fast; deterministic and auditable where the money is — trust signals generic CPQ can't claim.
Built to coexist with your incumbent CPQ, CRM and BSS/OSS over TMF-native APIs — a staged migration, not a rip-and-replace.
Because logic lives in the catalogue, adoption is loading your products, rate cards and rules — configuration, not a code project.
Cloud or private, tenant-isolated with data-residency options. Formal certifications (SOC 2, ISO 27001) are on the roadmap.
Ambient speaks TM Forum Open APIs across the whole quote-to-order lifecycle and aligns to the Open Digital Architecture (ODA) — so it interoperates with the BSS/OSS you already run, through interfaces the industry already agreed on, not a proprietary one.
Ambient is catalogue-driven: you load your own products, rate cards and suppliers, and the platform reasons over them through TMF-native interfaces. Logic lives in your data, not our code — so your catalogue, not a vendor, defines what you can quote. The engine already models every scope an enterprise deal spans:
From copilot to autopilot — the quote that designs, prices and routes itself, with a human on top.
Agents draft, price and route entire deals for human sign-off — supervised, not replaced.
Describe an outcome — “resilient retail estate, 400 sites” — and the system designs the network to match.
Reinforcement-driven price discovery that learns the efficient frontier of win-rate versus margin.
Quoting inside the conversation — email, chat, voice. The CPQ disappears; only the outcome remains.
See a 40-site hybrid SD-WAN deal quoted in minutes — on your own catalogue.