Sales Industry Focus

Modernise your sales engine with data, automation, and AI

  • Design and execute a practical roadmap across sales, operations, and support
  • Prioritise initiatives by commercial impact, feasibility, and time-to-value
  • Take successful pilots into secure, scalable production environments

When our sales industry support is a strong fit

Signals that your sales organisation is ready to benefit from a more data-driven, AI-enabled approach.

You have strong sales volume but weak visibility

You’re hitting targets, but leadership lacks reliable, real-time insight into pipeline health, forecast accuracy, and rep performance.

Your CRM is full, but underused

Data exists across CRM, marketing, and product systems, yet reps don’t trust reports and advanced analytics or AI initiatives stall.

Pilots and PoCs aren’t making it to production

You’ve run experiments in lead scoring, forecasting, or enablement, but they’re not integrated into core workflows or scaled globally.

RevOps is stretched and needs specialist support

Your RevOps team is overloaded with tactical requests and needs additional engineering and data capacity to execute a strategic roadmap.

You’re planning a major sales platform change

You’re replatforming CRM or CPQ and want to use the change to modernise data, analytics, and automation rather than lift-and-shift old problems.

You need measurable impact, not experimentation

You’re accountable for revenue outcomes and need partners who tie AI and automation work directly to conversion, cycle time, and retention metrics.

Sales use cases

Where we help sales teams win

B2B SaaS

AI-powered lead scoring and routing

Consolidate CRM, product usage, and marketing data to score leads and route them to the right reps, improving conversion and response times.

Enterprise software

Next-best-action recommendations for account teams

Use predictive models to surface expansion opportunities, churn risk, and suggested plays directly in your CRM, lifting NRR and deal velocity.

Manufacturing

Sales forecasting and pipeline health analytics

Replace spreadsheet-based forecasts with data-driven models and health dashboards, giving leadership earlier warning on gaps and slippage.

Professional services

Sales playbook automation and enablement

Digitise playbooks, automate follow-ups, and embed guidance into sales workflows, reducing ramp time and improving win rates.

Fintech

Revenue operations data foundation

Unify CRM, billing, and product data into a reliable warehouse and metrics layer, enabling self-serve reporting and advanced AI use cases.

How we work

From scattered tools to a coherent, data-driven sales motion

We combine sales domain understanding with engineering depth to move from ideas to production systems that your teams actually use.

01

Sales discovery and opportunity mapping

We map your current sales process, tech stack, and data landscape, then identify high-impact opportunities across acquisition, expansion, and retention.

02

Prioritised roadmap and business case

We shape a pragmatic roadmap, quantify impact, and define clear success metrics, balancing quick wins with foundational investments.

03

Solution design and architecture

We design the data flows, models, and integrations needed to embed analytics and AI into your CRM and sales workflows securely and at scale.

04

Build, integrate, and harden

Our engineers and data specialists implement the solution—whether as a fixed-scope project or an augmented squad—then test, secure, and ready it for production.

05

Rollout, enablement, and optimisation

We support rollout to sales, RevOps, and leadership, refine based on usage, and establish ongoing measurement and optimisation practices.

Business Outcomes

  • Clear, prioritised roadmap for modernising your sales organisation.
  • Higher conversion, larger deal sizes, and more predictable revenue.
  • Reliable, joined-up sales and revenue data ready for AI and analytics.
  • Reduced manual admin and faster ramp for new reps.
  • Production-grade AI and automation embedded into day-to-day sales tools.
Featured Whitepaper

AI Adoption in 2025: A Framework for Enterprise Success

A practical roadmap for executives launching enterprise-scale AI initiatives—covering governance, architecture, success metrics, and change management.

Autolayer

AI Adoption in 2025:
A Practical Framework for Enterprise-Scale Impact

Includes governance playbooks, rollout sequencing, and lessons from Fortune 500 launches.

Latest on the blog

Fresh perspectives on technology, product delivery, and enterprise transformation.

Contact Us

Let’s talk about your project

We help companies and individuals build out their brand guidelines.

Fabrice Campoy
Fabrice Campoy
Vice President, Schneider Electric

“Autolayer helped us unify our partner reporting across Africa. Their team is relentless about solving the tough problems.”

By submitting, you agree to our terms and privacy policy. Your info stays with Autolayer—no sharing, selling, or trading.

Stay ahead with Autolayer

Get practical insights on AI, cloud, and engineering delivery

Short, useful emails on building and scaling digital products — from architecture patterns and delivery playbooks to real-world lessons from our work with engineering teams.

Curated, not noisy
Expect a small number of high-signal updates: implementation guides, playbooks, and templates that your team can actually use.
No spam, ever
We'll only reach out when we have something genuinely helpful to share — no mailing list blasts or recycled content.