10 / Intelligence / Altamash Ishtiaq
Make the next
action happen.
Practical AI workflows, CRM integrations and reporting automation that connect the people, information and handoffs behind your business.
The business question
Automation is useful when a repeated process is already understood. A lead may arrive quickly but still wait for an owner. A report may be accurate but never lead to a decision. We identify these gaps and design workflows around a clear trigger, a useful next action and a person responsible for exceptions.
We map the current process, identify the systems involved and agree the rules before connecting them. Forms, CRMs, webhooks and tools such as n8n, Make or Zapier can support implementation where appropriate. AI can help interpret unstructured information, summarize research or prepare a draft, with review points for consequential outputs.
Modern AI solutions can include knowledge assistants, reporting summaries and lead triage, provided the data and use case fit. Deterministic rules remain useful for tasks such as assigning owners or checking required fields. Workflows need logs, duplicate handling, recovery paths and clear access boundaries. A successful pilot is judged by reliability and usefulness, not by the number of automated steps.
The service in practice
AI automation connects well-defined tasks across existing business systems. n8n, Make, Zapier, APIs and webhooks are considered where they fit. AI can assist research, classification, retrieval and drafting, with agreed review points, exception handling and accountable ownership.
Tools and implementation are selected around your existing setup and the agreed scope.
AI & Marketing Automation
The starting point is your business question. The scope connects these workstreams around the audience, systems and practical constraints involved.
Connect lead capture to the CRM and the person responsible for the next action. Check required information and avoidable duplication, with enough campaign and customer context to make the handoff useful.
Workflow discovery and integration map
Define what should happen when a customer’s situation changes. Connect follow-up workflows to clear conditions, stop rules and accountable ownership so automation can support a conversation rather than continue past it.
Pilot with agreed rules and review points
Use AI where retrieval, summarization, research or drafting can help the team. Keep sources visible, define the information the workflow may use and establish a human review point before relying on an interpretation.
Exception handling and operating guidance
Bring useful data into a decision-ready view and assign actions when agreed conditions are met. Plan exceptions and operating guidance so the people responsible can understand the workflow and respond when it needs attention.
Success measures and iteration priorities
A focused project or a connected engagement, scoped around what you need next.
Discuss this serviceA concrete handoff
Handoff reliability, time to useful action and exception visibility help shape the measurement conversation. We agree definitions and a baseline before judging a change.
A little more clarity
No. Rules and standard integrations are often more predictable for structured tasks. AI is introduced when interpreting language, finding information or preparing a reviewed draft adds practical value.
We start with the business challenge, existing assets, available access and the outcome you need. The proposal defines deliverables, responsibilities, dependencies and what is outside the engagement.
Yes. We identify the relevant connections during discovery, including content, campaigns, conversion paths, analytics and operational handoffs. The scope can remain focused while preserving a clear route to future work.
Make the connections
A good place to start
Let’s talk about ai & marketing automation, the challenge you want to solve and the most useful place to begin.