The system of decision

The AI system of decision for your sales floor.

Strategy set by humans, enforced by AI agents, on every deal.

Core architecture · the decision engine

The decision engine.

Steero structures messy deal inputs against a model of your business, then runs top-rep reasoning over it, deal by deal, in real time.

The pipeline · four engines
Engine 01
Needs Refiner
IN
Unstructured RFQ: PDFs, emails, chat
OUT
A clean, validated, structured deal
Engine 02
Deal Tier Classifier
IN
Customer profile & context
OUT
Strategy: Low-cost · Core · Premium
Engine 03
Product-Range Selector
IN
Structured requirements
OUT
Ranked products + fit score
Engine 04
Configuration & Pricing Guide
IN
Ranked products + tier
OUT
Config + data-backed price corridor
The offer
A win-rate & margin-optimised offer
  • Recommended product
  • Right configuration
  • Pricing corridor
  • Argumentation to defend it
Every recommendation traceable to the rules triggered and the deals behind it.
All of it runs on two foundations
Foundation 01
The Ontology
The map of your business

Structures every deal into connected objects. Without this map, AI is just guessing.

DealsCustomersTechnical requirementsProducts & variationsOptions + compatibilityProduct rangesWin / margin history
Foundation 02
The Rules engine
Your know-how, codified

Four rule types encode how your best reps sell, each validated against real won and lost deals.

Set rulesFilter rulesRecommendation rulesMargin-error rules

This is the moat. Generic AI reasons over raw data and guesses. Steero reasons over a model of your business, and only recommends moves that lift margin without hurting win rate.

Strategy Hub · for Directors, Product & Pricing

Codify the rules once. Enforce them on every deal.

Set pricing rules, product-config logic, and win playbooks in one place, then set the guardrails Steero holds the floor to.

Discount floors, margin thresholds, approved configurations.
Static knowledge living rules enforced automatically.
Strategy Hub Fleet · EMEA
Guardrails
Discount floor
8% maximum without escalation
Margin threshold
38% minimum on strategic accounts
Approved configurations
M200 · M300 · M300 + upkeep
Win playbook
Anchor on uptime SLA, not unit price
AI Sparring Agent · for the sales team

Deal-by-deal guidance, live in the flow.

Across all six phases of the deal, the agent recommends the right config, the data-backed price, and the next move, with the rationale behind every call.

steero · sparring partner #5556 · Riverside Metro
Agentic Learning Loop

Every deal makes the rules smarter.

Every closed deal feeds back and sharpens the rules. Accept, override or ignore: each outcome tunes the guidance for the next comparable deal.

You are the author. The field is your analyst.

01 Steero recommends config · price · move 02 Rep acts accept · override · ignore 03 Deal closes won / lost · margin 04 Rules re-tune validated & sharper
Ecosystem & integrations

Sits on the stack you already run.

Steero connects to CRM, CPQ, ERP, Outlook and Drive, reading deal context in and pushing guidance back out across your full sales tech stack. No ERP change, no rip-and-replace.

CRM CPQ ERP Drive Outlook RFQ

Your reps are flying solo in the moments that shape your profitability

Feature → result
Guided configs
+3 pts
win rate
Data-backed pricing
+2 pts
margin per deal
Per 4-week pilot
+€243K
margin uplift identified
FAQ

Questions, answered.

Our reference deployment went from kickoff to live in about 4 weeks, on top of the client’s existing CRM and CPQ. No parallel system to build, no new dataset to create: Steero plugs into the pricing and deal history you already have. Reps are typically at full adoption within 20 days of go-live.

No. Steero connects to your CRM and CPQ (Salesforce, SAP CPQ, Tacton, Camos, or even a structured Excel configurator) rather than replacing them or pulling your deal data out to a separate system. It sits in the workflow your reps already use.

The margin that leaks silently in the 30 seconds before a rep commits to a number: not a pricing-strategy problem, an execution one. Same product, same territory, same corridor, and reps still land ±5 margin points apart with no one able to explain why until finance closes the quarter. That’s what Steero targets: +2 to 4 margin points per deal on average.

Access to your CRM/CPQ, a pricing corridor or playbook (even an informal one), and a sponsor who owns the margin gap on their P&L. That’s it. Steero builds its first recommendations from deal history you already have, not from a new data project.

No. Your CRM still tells you where deals are, your CPQ still enforces pricing rules: Steero is the layer neither of them has, the one that guides how a rep actually reasons, prices and negotiates in the room. It’s built to sit on top of what you run today, including pricing platforms like Zilliant, Vendavo or PROS.

Industrial manufacturers selling configured, technically complex products through their own direct sales force: usually 50+ reps in a territory, €500M+ revenue, and a team that’s already tried fixing margin variance with training, consulting or CPQ rules and watched it not stick.

See Steero on your own deal data.

We'll run it against your historical deals and show where margin is leaking, on your CRM and CPQ, with no rip-and-replace.