DS Consulting logoDS Consulting
Strategy to Systems. Delivered.

Marketing automation, RevOps, and AI marketing systems

We help leadership teams turn fragmented martech into a governed revenue system. Lifecycle orchestration, CRM discipline, omnichannel automation, AI marketing on IBM watsonx, and measurement that supports decision-making.

Book a consultationBack to Services
Marketing automation and analytics theme
AI marketing for regulated enterprises

AI-powered marketing built on your existing data

Whether that data lives in IBM infrastructure, HubSpot, Salesforce, or all three simultaneously, we design and implement AI marketing systems that work on top of what you already have.

We run an IBM watsonx AI marketing practice for enterprises where governance, auditability, and compliance are non-negotiable. This is not a generic AI bolt-on. It is governed adoption built on the infrastructure your teams already operate.

IBM watsonx
AI marketing on enterprise-grade infrastructure with auditability and compliance built in.
HubSpot
CRM architecture, lifecycle design, automation workflows, and governed reporting.
Salesforce
Data model discipline, lead management governance, and measurement frameworks.
In-house and hybrid stacks
360-degree customer view design integrating purchase history, survey data, and third-party sources like Nielsen.

Key service pathways

These pathways cover the foundations leaders need for predictable execution and reliable reporting.

CRM architecture and governance

Data model discipline, definitions, permissions, hygiene rules, integrations, and governance cadence aligned across teams.

Explore CRM governance →
Lifecycle and lead management

Lifecycle stages, routing and SLAs, journey orchestration, segmentation, and operational handoffs for B2B and B2C.

Explore lifecycle design →
Revenue analytics and measurement

Funnel definitions, metric governance, attribution rules where relevant, and dashboards leaders can trust.

Explore measurement →

What we deliver

We link strategy to systems through governance, implementation, and measurable outcomes.

Operating model and governance
Lifecycle definitions, ownership, routing, SLAs, and change control that keep execution stable.
CRM discipline and data model
Field standards, naming conventions, permissions, data hygiene rules, and source of truth alignment.
Omnichannel lifecycle orchestration
Email, SMS, WhatsApp, web, app and service signals coordinated into journeys.
Content operations and AI workflows
Faster content creation with brand guardrails, controlled personalisation, and measurable performance.
Implementation and enablement
Hands-on configuration, documentation, training, and rollout support. Platform experience includes IBM watsonx, HubSpot, Salesforce, Zoho, and in-house CRM builds with 360-degree customer view design.
Measurement governance
Metric definitions and reporting rules that remain stable across teams and cycles.

FAQs

Common questions about lifecycle governance, CRM discipline, automation workflows, and measurement stability.

What problems do you solve for CMOs, CROs and CEOs?
We fix revenue execution chaos across CRM, marketing automation, sales, customer success and service. We create lifecycle definitions, governance, routing and measurement so leaders get reliable visibility into pipeline and retention outcomes.
Is this only for B2B, or do you support B2C automation as well?
We support both B2B and B2C. B2B focuses on lead and account lifecycle, routing and SLAs, pipeline visibility and renewals. B2C focuses on omnichannel journeys like onboarding, cart recovery, replenishment, loyalty and win-back with strong governance.
Do you implement, or do you only advise?
We provide advisory plus implementation. We define the operating model, implement workflows and governance, enable teams, and set a cadence that sustains outcomes after go-live.
How do you handle messy stacks like CRM plus finance, IVR, and support tools?
We map systems, define source of truth, standardise definitions, and design integrations and workflows so marketing, sales, finance and service signals work together. We then implement governance so the system stays stable.
Where does AI fit in automation and content operations?
AI helps when it is governed. We use AI to speed content workflows, maintain brand consistency, improve segmentation and decisioning, and generate insights with guardrails for compliance and measurement.
How do you measure ROI?
We define success metrics up front such as conversion, speed to follow-up, pipeline contribution, stage velocity, retention, repeat purchase, CAC efficiency, data quality, and adoption. We align reporting definitions and governance so metrics remain reliable.
Where should we start?
Start with a diagnostic audit of lifecycle definitions, CRM governance, routing and SLAs, automation workflows, and measurement. The output is a prioritised roadmap with owners and measurable outcomes.
Do you work with IBM watsonx or only standard martech platforms?
Yes. We run an IBM watsonx AI marketing practice for regulated enterprises. We also work across HubSpot, Salesforce, Zoho, and in-house CRM builds. Most clients have a mix. We design the AI layer to work on top of the data and infrastructure already in place, not to replace it.