AI & Automation for GTM

Make your GTM system do more of the work.

LYNR applies AI and automation across Marketing, Marketing Ops, RevOps and Sales to reduce avoidable manual work, improve data quality and make critical GTM workflows run more consistently.

We fix the workflow first, then automate the parts where technology creates measurable value.

Discuss a workflow See common use cases

LYNR-led. Specialist delivery where required. Separately scoped from standard LYNR engagements.

One controlled workflow example

01Signal
02Decision
03Action
04Exception
05Human

Inbound enquiry → enrich → qualify → route → AE. If confidence, data or routing rules fail, the exception goes to a named person.

Persona lens

What does this change in your seat?

The workflow and the measure should start with the operating pressure each leader is accountable for.

Pressures

Campaign-to-pipeline visibility
Lead response and follow-up
Marketing data and attribution confidence

Relevant workflows

Campaign response and event follow-up
Enrichment and lead qualification
Attribution inputs and reporting preparation

Measures to agree

Speed-to-lead
MQL / SAL conversion
Sourced pipeline
Attribution coverage
Operations hours removed

GTM workflow map

Where AI and automation can sit across the GTM system.

Examples include workflow support across the connected journey. Each opportunity still needs its own rules, controls, data and commercial case.

Example workflow opportunities

Marketing
Campaign response · Event follow-up
Marketing Ops / RevOps
Enrichment · Scoring inputs · Routing · Lifecycle · CRM / MAP sync
Sales
Research · SDR→AE handoff · Meeting follow-up · Pipeline hygiene
Commercial Ops
Quotes · Approvals · Contracts and documents
Customer
Onboarding · Renewal preparation / triggers

Data · Governance · Human control · Measurement

Common use cases

Common GTM workflows worth assessing.

These are workflow capabilities that can be assessed and scoped — not off-the-shelf products or claims of prior client outcomes. Each workflow is assessed against the CRM, MAP, sales-engagement and data systems already in use, rather than fitted to a fixed platform list.

01 · Marketing · MOPS · Sales

Demand → Sales

Problem: Inbound demand is slow to qualify, enrich, route or follow up.
Automate: Capture, enrichment, qualification inputs, routing and follow-up preparation.
Human: Agree qualification rules, own exceptions and approve consequential outreach.
Measure: Response time, routing quality, conversion and manual handling effort.

02 · CMO · Marketing Ops

Marketing Operations

Problem: Campaign, lifecycle and attribution operations rely on repetitive manual reconciliation.
Automate: Campaign operations, lifecycle actions, MAP / CRM sync, data QA and attribution workflow inputs.
Human: Own lifecycle definitions, campaign governance and material exceptions.
Measure: Processing time, lifecycle compliance, source coverage and sync exceptions.

03 · RevOps · Sales Ops

CRM & Revenue Operations

Problem: CRM data is incomplete, stale or inconsistent across connected systems.
Automate: Data capture, hygiene, enrichment, updates, reconciliation and exception handling.
Human: Set system-of-record rules, resolve ambiguous records and govern changes.
Measure: Field completeness, stage freshness, exception volume and sync quality.

04 · CRO · Sales · RevOps

Sales Execution

Problem: Research, handoffs, follow-up and pipeline upkeep take time away from selling.
Automate: Research preparation, SDR→AE handoffs, meeting follow-up, pipeline hygiene and defined risk or exception signals.
Human: Retain customer judgement, opportunity decisions and approval of commitments.
Measure: Handoff quality, pipeline freshness, preparation time and opportunity progression.

05 · CRO · Commercial Ops

Commercial Operations

Problem: Quote, approval and document workflows create avoidable delay and rework.
Automate: Quote-data preparation, approval routing, document extraction and contract or order workflow support.
Human: Approve pricing, terms, legal interpretation and customer commitments.
Measure: Cycle time, exception volume, approval latency and rework.

06 · CMO · CRO · Ops

Reporting & Intelligence

Problem: Teams spend too long consolidating data before they can investigate what changed.
Automate: Data consolidation, dashboard preparation, anomaly detection and AI-assisted interrogation where the data foundation supports it.
Human: Validate interpretation, decide action and challenge weak or incomplete evidence.
Measure: Reporting latency, data coverage, investigation time and unresolved exceptions.

Method

Fix the workflow before automating it.

Technology follows the operating design, control model and agreed measure — not the other way around.

01
Diagnose
Map the operating problem, baseline and commercial consequence.
02
Design
Define the future workflow, data, ownership and acceptance basis.
03
Automate
Build and connect only the parts where technology adds measurable value.
04
Control
Set approvals, permissions, exceptions, rollback or escalation and human judgement.
05
Measure
Monitor the workflow against the agreed operating and commercial measures.

Buying model

A different commercial model for automation.

AI & Automation work is assessed against its implementation and operating requirements rather than fitted into core LYNR offer pricing.

Assess

Workflow, data, feasibility, controls, baseline and commercial case.

Deploy

Solution design, integrations, configuration, build, testing, human controls and go-live.

Manage

Monitoring, maintenance, optimisation, exception support and usage or performance reporting where an ongoing service is agreed.

AI & Automation engagements are scoped separately from LYNR’s standard Signal, Sprint, Embed and Orbit pricing.

Commercials depend on workflow complexity, integrations, platform and infrastructure requirements, expected usage or volumes and the level of ongoing management.

Third-party platform, infrastructure, model/API, messaging, data or other consumption costs may apply depending on the solution and are confirmed before deployment.

See AI & Automation commercial principles in our Client Engagement Terms →

Delivery model

LYNR-led. Specialist delivery where required.

LYNR leads the GTM design and client engagement while bringing in approved technical capability where the workflow requires it.

LYNR

GTM and revenue workflow · Business requirements · Governance · Adoption and change · Client engagement

Specialist LYNR delivery

AI and automation engineering · Integrations · Data · Infrastructure · Technical operation where required

Client outcome

Working GTM workflow · Defined controls · Clear ownership · Measured performance

LYNR leads the GTM design and engagement. Approved specialist LYNR partners provide technical AI and automation capability where required. Responsibilities, platforms, security requirements and operating arrangements are defined before deployment.

Human control

Automate the work. Keep control of the decisions.

Automation should reduce routine effort without hiding who remains accountable for consequential decisions.

Automation can handle

Data movement · Enrichment · Classification · Drafting · Routine actions · Monitoring

People retain

Commercial judgement · Pricing decisions · Customer commitments · Legal interpretation · Sensitive exceptions · Final approval where required

Permissions · Approval checkpoints · Exception routing · Auditability · Named ownership

Before production: trusted context · defined authority · safe exception handling · named ownership.

Scope reassurance

Clear scope before anything goes live.

Every automation engagement defines the workflow, implementation scope, expected volumes, systems involved, operating model and applicable platform or usage requirements upfront.

Where third-party infrastructure or consumption-based technology is required, this is identified during scoping and reflected in the commercial proposal.

Material changes in scope, volume, integrations, platform requirements or service levels may require change control or revised commercials.

Start with one workflow

Bring us one GTM workflow that should not require this much manual work.

Whether it sits in Marketing, Marketing Ops, RevOps or Sales, LYNR will determine what is broken, what should be automated and whether the commercial case stacks up.

Discuss a workflow

20-minute initial conversation. Start with the operating problem, not the technology.