AI Automation and Workflows
CRM integration
Connect marketing and sales data so attribution survives the handoff. It is a defined piece of work rather than a retainer line item.
What does this work cover?
Connect marketing and sales data so attribution survives the handoff. In practice that means field mapping and data model alignment between the systems, and then the harder half: attribution data carried from first touch through to closed revenue.
Why this work exists
Almost every engagement that stalls on this discipline stalls here, and almost nobody predicts it.
Within AI Automation and Workflows this is the item with the clearest cause and effect, which is why it is scoped on its own.
The nearest piece of work to it is giving every automation a defined failure path and somebody to alert. Where that is already handled, this moves faster than the estimate; where it is not, the two get done together or neither of them holds.
What good looks like
The sign it is working is that nothing surprising happens. Changes are noticed on the day they are made rather than in the next quarterly review.
The gap between that and where most accounts start is why this is scoped as CRM integration rather than as a line inside something larger. Mapping the process as performed rather than as documented is the usual second step once it is in place.
When this is the right work
It is worth doing when:
- Marketing source data stops at the form fill
- The CRM has three records for the same company
- Closed revenue cannot be traced to a channel
If none of those is true, something else is probably the constraint, and the AI Automation and Workflows overview maps the alternatives. The usual neighbours are capturing the original source so it survives into the CRM and putting the prompts in version control.
What the work covers
The scope, stated plainly:
- Field mapping and data model alignment between the systems. Slow, unglamorous, and the reason the rest holds up.
- Attribution data carried from first touch through to closed revenue, the step where disagreements surface, which is why it goes early rather than late.
- Bidirectional sync with a defined conflict resolution rule, done before anything downstream is committed to.
- Data hygiene rules so the integration does not propagate duplicates. Usually scoped at half the size it turns out to be.
How it runs
It runs in three passes. The order is not interchangeable.
Bringing in whoever owns the system
Developers, agency partners or whoever actually controls the platform get involved before recommendations are written, not after they are rejected.
Proving it in one place first
Changes get made to a small, representative slice and measured there before being applied everywhere. It is slower for three weeks and faster for the rest of the year.
Clearing the contradictions
Where two systems disagree about the same fact, that gets settled before anything is built on top of either of them.
What each part runs into
The four parts do not fail in the same way:
- Field mapping and data model alignment between the systems: the Melbourne version of this has to deal with an incumbent whose position comes from presence rather than effort
- Attribution data carried from first touch through to closed revenue, where a Ajmer engagement contends with a buying pattern that resolves faster than the reporting cycle
- Bidirectional sync with a defined conflict resolution rule – working in Pune this means accounting for a sector mix that pulls the brief in several directions
- Data hygiene rules so the integration does not propagate duplicates, and in Ahmedabad the constraint on it is a seasonal peak that arrives before the content is indexed
What not to do
Syncing everything bidirectionally without conflict rules. Two systems disagreeing then overwrite each other on a schedule.
This is the version most often delivered, which is why the discipline has a worse reputation than it deserves.
How it is measured
Share of closed revenue traceable to first touch, and duplicate rate. That is what gets reported, and it is deliberately narrow enough to move within the engagement.
It is reported against the same definition every month, because a metric that is redefined is a metric nobody trusts.
What you end up with
At the end of the engagement there is an integration carrying attribution end to end, with defined sync behaviour and hygiene rules.
Short enough to read in a sitting, which is a deliberate constraint rather than an accident.
How it differs by sector
The brief changes with the sector, not just the emphasis:
- Real estate and property: Portals own the generic demand, so the win is locality authority and the specific listing. so this work has to account for that before anything else.
- Marketplaces and platforms, where two sides to acquire, and a programmatic page set that can sink the whole domain. which moves this work earlier in the plan.
- In Legal and professional services the binding constraint is that high-value, high-intent local search under advertising rules that vary by jurisdiction.
The industry pages carry the rest of that detail. Real estate and property and Marketplaces and platforms are the two where this piece of work most often decides the outcome.
Common questions
How does attribution survive a long sales cycle?
By capturing the original source in a first-party cookie on first landing, passing it into the CRM on the first form fill, storing it on the contact and the opportunity, and never overwriting it with a later touch. Last-touch overwriting is the default in most setups and it is what destroys the attribution.
Should the integration be bidirectional?
Only where both systems genuinely need to write the same field, and then with an explicit rule about which wins. Most integrations need one direction for most fields. Bidirectional sync without conflict resolution produces fields that flip back and forth and data nobody trusts. Entity and Semantic SEO is the page to read before the kickoff call; Generative Engine Optimization is the one to read after it.
What do you need from us?
Access to the measurement and to whoever knows the history. Most of the delay on work like this comes from waiting for access rather than from the work itself. Server-side rendering or Client-side rendering is the part that scales. Subdirectory or Subdomain is the part that never will.
Is the output a report or a change?
Both, in that order. An integration carrying attribution end to end, with defined sync behaviour and hygiene rules. The report exists so the change is accountable, not instead of it. Do we need a blog? covers the setup, Does Google penalise AI-written content? the maintenance nobody budgets for.
How do we know this is the right piece of work?
The signals above are the test. If none of them describes your situation, something else is the constraint, and saying so is more useful than selling this. If this is already in place, AI crawler and Analytics implementation are the next two things to fix.
Ask about CRM integration
Send what you know. We will come back with what we would check and roughly what it involves.
Get the two or three things that matter
Give us the context and we will give you the order of work, including the parts you can do yourself.