everatio

AI transformation for sales & marketing

AI systems.
Built for the way
you grow.

Connect GTM, Growth, Context Engineering and Data. We build AI into account research, campaign execution and measurement—with the workflows and team practices to make it useful.

For B2B founders and sales and marketing leaders.
Qualified early-stage companies and nonprofit teams also welcome.

One connected system01 → 04
Data
GTM strategy
Context engineering
AI sales
AI marketing
Growth + learning

Evidence → context → action → feedback
Human review at consequential decisions.

everatio / workflow diagnostic
Illustrative example
customer definition
documented
source ownership
unclear
business context
fragmented
workflow execution
manual
review criteria
incomplete
outcome tracking
partial
ReadinessExample scores
GTM clarity65 / 100
Growth workflows45 / 100
Data foundation30 / 100
Workflow use% of team

0–100% scale · synthetic values

Example next step → establish source ownership, then implement one reviewed workflow.
All statuses and values are fictional. This is a service illustration, not a live dashboard or client assessment.
Connected
by design
GTMGrowthContext engineeringData
Example data and measurement notes

Readiness values show a possible presentation only; no validated scoring model is claimed. Workflow use means the share of an example team using an agreed workflow that week. Adoption alone does not establish quality or revenue impact.

MeasureIllustrative valuesScale
GTM / Growth / Data readiness65 / 45 / 300–100
Adoption, weeks 1–620 / 30 / 45 / 40 / 60 / 700–100%
The system

Connect the tools.
Change how
the work gets done.

Build AI into the full sales and marketing funnel—with clear context, working integrations and people who know how to use it.

Workflows

Connect people, agents and tools around specific sales and marketing tasks.

Context engineering

Give each workflow the right knowledge, instructions, tools and source boundaries.

Data

Connect customer, campaign and pipeline data with consistent definitions.

Roles & rituals

Assign ownership and establish the review habits that keep the work useful.

Metrics

Evaluate quality, adoption, pipeline and customer outcomes together.

Leadership & skills

Help leaders evaluate AI work and train teams to build on what works.

Context engineering

Your business context.
Engineered into
the workflow.

The right answer depends on more than a prompt. We connect authoritative sources, scoped instructions and relevant tools—then test the work against real tasks.

context / execution path01 → 05
sourcesCRM + positioning + customer evidence
contextRelevant knowledge + task boundaries
workflowResearch → draft → human review
evaluateAccuracy + usefulness + correction effort
improveUpdate sources, instructions and tests

One workflow, made concrete

From source material
to work worth reviewing.

Choose an example to see how the inputs, context and review criteria change with the task.

An account brief before the meeting.

Bring account history, current positioning and approved customer evidence into a cited brief. Show gaps explicitly so the seller can prepare the right questions.

Illustrative deliverable · not client data or an automated live process.

inputAccount history + approved proof
outputCited brief + open questions
reviewCheck facts, relevance and missing evidence
measurePreparation time + accuracy + seller use

Build the capability.
Make it part of the team.

From a focused context-engineering engagement to a connected sales and marketing transformation.

AI transformation

GTM, Growth & Data.
Working together.

Design and implement the workflows, integrations and measurement behind your sales and marketing priorities.

01 / GTMAudience, offer, channel strategy
02 / GROWExperiments, lifecycle, conversion
03 / DATAIdentity, instrumentation, reporting
DISCUSS A TRANSFORMATION ↗

Context engineering

The foundation
for dependable AI work.

Audit the sources, establish the context architecture and implement one or two bounded workflows. Include evaluations, maintainers and a handover your team can use.

INPUTAuthorized business knowledge
BUILDContext, instructions, scoped tools
ACCEPTRepresentative tests + ownership
EXPLORE CONTEXT ENGINEERING ↑

Executive coaching

Lead the change
with better judgment.

Work with leaders on where AI belongs, how to evaluate it and how to support adoption across sales and marketing.

DISCUSS EXECUTIVE COACHING ↗

Team training

Real workflows.
Practical team capability.

Role-specific workshops and working sessions using your team's actual tasks. Build the skills, ownership and review habits to keep improving.

DISCUSS TEAM TRAINING ↗
How we work

Start with the constraint.
Build. Evaluate. Improve.

01 / DIAGNOSE

Choose the work.

Map the priority, current process, sources and people. Establish a baseline.

02 / IMPLEMENT

Connect the system.

Build the context, integrations and workflow with explicit review points.

03 / EVALUATE

Test what matters.

Assess quality, correction effort and usefulness with representative tasks.

04 / ADOPT

Make it repeatable.

Train the team, assign ownership and review the results together.

Start a conversation

What should AI
make possible
for your team?

Bring a sales, marketing or growth challenge.
We’ll start with the work, the data and the people behind it.

A focused first conversation.

Tell us where your team is getting stuck and what you want to change. We review every inquiry for fit before arranging a working conversation.

Tell us about your team ↗