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Automation & AI Systems

Remove the manual work between a lead and a customer.

Discuss automation & ai systems
From JOD 300 / projectFirst workflows live in 4 weeks
Overview

Growth usually breaks on operations before it breaks on demand. Leads arrive faster than anyone can follow up. Data lives in four systems that disagree. Reporting takes two days a month to assemble. Every new client means the same twelve manual steps performed slightly differently.

Owl Media builds the connective tissue: CRM configured around how you actually sell, lead routing and enrichment that happens in seconds, lifecycle campaigns that run themselves, AI agents that handle first-line qualification in Arabic and English, and reporting that assembles itself overnight.

We are deliberately pragmatic. We map the process before we automate it, because automating a bad process just produces bad outcomes faster.

Typical outcomes

< 60 sec

Typical speed to first contact after go-live

31 hrs

Average monthly manual hours removed per client

+22%

Average lift in lead-to-opportunity conversion

Tools & platforms

HubSpotSalesforceZapier & Maken8nWhatsApp Business APIBigQueryLooker StudioOpenAI & Anthropic APIs
What usually goes wrong

The patterns we see in almost every audit.

Speed to lead is measured in hours

Contact rates collapse after the first five minutes. Most of your enquiries are cold before anyone opens the inbox.

Your data disagrees with itself

The CRM, the ad platforms, the spreadsheet and the finance system each tell a different story, so nobody trusts any of them.

Follow-up depends on memory

No sequences, no reminders, no nurture. Deals go quiet and nobody notices until the quarter closes.

Reporting is a manual ritual

Two days a month exporting, pasting and reconciling, producing numbers that are already out of date.

AI is being used as a toy

A chatbot bolted on with no access to your data, no handover path and no measurement. It irritates customers instead of helping them.

What you get

Scope, in detail.

No vague line items. Here is precisely what is produced, delivered and handed over.

Get a scoped proposal

CRM implementation and optimisation

HubSpot, Salesforce, Zoho or Pipedrive configured around your real pipeline: stages, properties, permissions, deal hygiene rules and adoption training that makes it stick.

Lead capture, routing and enrichment

Instant capture from every source, automatic enrichment, scoring, deduplication and routing to the right person with an SLA and escalation if it is missed.

Lifecycle and nurture automation

Welcome, onboarding, nurture, re-engagement, abandoned-cart and post-purchase journeys across email, SMS and WhatsApp, in both languages.

WhatsApp Business automation

The dominant channel in this region, done properly: official API, template messages, conversational flows, chatbot qualification with clean human handover, and full CRM logging.

AI agents and assistants

Retrieval-grounded assistants built on your own content for support deflection, lead qualification and internal knowledge search: bilingual, with guardrails and honest handover rather than confident invention.

Internal workflow automation

Proposal and contract generation, e-signature, invoicing triggers, onboarding checklists, approval flows and task creation across Slack, Notion, Asana and Google Workspace.

Data warehouse and reporting

Sources consolidated into BigQuery or an equivalent, transformed into a single model, surfaced in Looker Studio or Power BI dashboards that refresh themselves.

How it runs

The engagement, step by step.

01

Process mapping

We document how work actually happens today, including the undocumented workarounds. This step is where most of the value is found.

02

Opportunity scoring

Every candidate automation scored by hours saved, revenue impact and build effort, then sequenced honestly.

03

Build in phases

Highest-value workflow first, shipped and proven before the next. No eighteen-month transformation programmes.

04

Adoption

Documentation, training and a named internal owner. An automation nobody understands is a liability.

05

Monitor and extend

Error alerting, monthly health checks and a standing backlog of the next improvements.

Questions

Automation & AI Systems FAQ

Usually the opposite. Smaller teams get the most from automation because there is nobody spare to absorb manual work. We start with one or two workflows that pay for themselves quickly.

In our experience it removes the work people dislike (copying data, chasing status, assembling reports) and frees them for selling and service. We have not had a client reduce headcount because of it.

We design for compliance with Jordan's Personal Data Protection Law and GDPR where relevant: consent capture, retention rules, access controls, data residency decisions and documented processing.

Yes. We far prefer integrating what you have over a rip-and-replace. Migration is only recommended when the current system genuinely cannot do the job.

Every workflow ships with error handling, alerting and a documented fallback. Ongoing support plans include monitoring and rapid response.