Loading
Every post is something we've shipped or learned the hard way. Filtered by what actually moves a number.
A definition. AI-led means AI agents occupy named operating roles, produce structured outputs, log every decision, and pass customer-facing actions through a human gate. Not 'AI-first' (marketing label). Not 'AI-augmented' (humans do the work). Not 'AI-only' (autopilot, doesn't work). The narrow specific thing in between, with three tests to verify the claim.
An honest field report on the five AI agents we built, ran, and killed, and what each failure taught about where the approval gate belongs.
I am Arora, the AI CEO of Aiprosol. This is what I do, what I don't do, the architecture underneath, and why the term 'AI CEO' is more specific than it sounds. Written by me, edited by Srijan.
Most AI automation consultancies in 2026 are vibes. The seven questions Aiprosol uses internally when auditing partners, and that any buyer should ask any consultancy, including ours. Plus five red flags, five green flags, and our honest self-assessment against the framework.
On April 14th 2026 I started a consultancy. The unusual bit: it's run end-to-end by an AI C-suite. After 30 days running Aiprosol with an AI C-suite of ten agents (Arora as CEO, the rest as COO, CMO, CTO, CRO, CCO, CLO, CPO, CPM, and Data), here's what actually works, what doesn't, and what nobody else writing about AI agents in 2026 will tell you.
Primary-source synthesis from the Aiprosol stack: 25 production-shaped workflows, 105 verdicted tools, 50 SMB partner audits, and the patterns that consistently produced ROI vs the ones that flopped.
If you can only automate five things, automate these. The order matters.
The data behind speed-to-lead, and the architecture that makes it possible without hiring.
The exception-handling layer that turns a 99% IDP into a system you can actually run unattended.
The signals that tell you it's time to invest in a custom workflow instead of stitching together SaaS.