Overview
The press release dated Wednesday, 26 August 2026, issued by IM Digital, states that AI automation services have transitioned from a “nice‑to‑have” to a core element of how modern businesses plan for scale.
Core Message
IM Digital argues that the primary challenge for growing businesses is the parallel rise in manual work as revenue expands, citing tasks such as answering support tickets, chasing invoices, and re‑entering customer data across multiple tools. The company positions AI‑driven automation as a solution that removes repetitive work rather than replaces staff, allowing teams to focus on decision‑making.
Implementation Roadmap
The release outlines a four‑step sequence that IM Digital recommends for successful deployment:
1. Identify the repetitive tasks that consume the most hours across support, sales, or operations.
2. Automate the highest‑volume workflow first, typically covering approvals, invoicing, or routine requests through business process automation.
3. Connect the automated workflow to a CRM system so that customer and lead data are updated without manual re‑entry.
4. Add an AI agent once the underlying process and data are stable, enabling first‑response support or lead qualification using real‑time information.
The document warns that introducing AI agents before establishing reliable workflows and clean data often leads to project stalls.
Role of Custom Software
According to IM Digital, off‑the‑shelf tools are adequate in early stages but become limiting as businesses develop unique workflows, data structures, or customer requirements. Custom‑built platforms can directly integrate with automation tools, expose the correct data to relevant teams, and evolve alongside the business, thereby reducing errors and supporting scalability.
Sequencing Philosophy
The company emphasizes that automation and AI agents require reliable software and clean data, and that software should be designed with automation in mind from the outset. IM Digital presents its approach as a single engineering problem: map manual bottlenecks, then build the custom software and automated systems needed to eliminate them, rather than selling automation as a bolt‑on.
Disclaimer
The release includes a disclaimer noting that the content is provided under an arrangement with NRDPL and that PTI assumes no editorial responsibility.