AI agency process: how an engagement works from first call to ongoing delivery
What happens when you hire Rashid Minhas’s AI agency — the discovery, onboarding, delivery, and review stages that every engagement follows.
The 5-stage AI agency process
Every AI agency engagement — whether it is a content retainer, an automation build, a marketing campaign, or an AI implementation — follows the same five-stage process. The stages vary in duration by service type but the structure is consistent: understand before building, build before delivering, review before publishing.
The most common cause of AI agency failure is poor discovery: the agency deploys AI without first understanding the client’s data quality, brand voice, success metrics, or integration requirements. A documented engagement process is the primary signal of an AI agency’s operational maturity. Rashid Minhas’s five-stage process is publicly documented so prospective clients know exactly what to expect — before committing to any engagement.
Stage 1 — Discovery (week 1)
Discovery is the most important stage. It determines whether the engagement will succeed or fail. In discovery, the agency learns: what the client is trying to achieve, what data and assets are available, what the current state of operations is, and what success looks like in measurable terms.
Discovery deliverables: a written scope document defining the service, volume, timeline, success metrics, and integration requirements. For content engagements: a keyword/entity list and topical map. For automation engagements: a process audit and workflow map. For implementation engagements: an AI readiness assessment report. Discovery is typically a fixed-fee session (1–2 hours + written output).
Stage 2 — Onboarding (week 2)
Onboarding converts the discovery output into AI configuration: brand voice is encoded in LLM system prompts, data connections are authenticated, workflow triggers are configured, and reporting pipelines are established.
For content engagements: the LLM is calibrated to the client’s voice using reference pieces and a style guide. Three sample pieces are produced and approved before full-volume production begins. For automation engagements: the workflow is built in a sandbox environment and tested with representative data. For marketing engagements: ad accounts, analytics, and CRM are connected and access levels confirmed.
Stage 3 — Production delivery (ongoing)
Production begins after onboarding sign-off. Deliverables are produced according to the agreed schedule: weekly content batches, continuously running automation workflows, or active campaign management.
All content passes the five-stage quality gate before delivery. All automation outputs are logged and audited. Campaign performance is monitored daily and automated reports are generated weekly. The client receives deliverables without needing to chase — the production system is the communication mechanism.
Stage 4 — Review and optimisation (monthly)
Monthly reviews assess performance against the success metrics defined in discovery. The review covers: content performance (rankings, traffic, engagement), automation performance (tasks processed, errors, time saved), campaign performance (conversions, cost per result, ROAS), and any scope changes for the following month.
Optimisation actions are taken based on review findings: content topics are adjusted based on ranking data, automation workflows are updated to handle new exception types, and campaigns are reallocated based on channel performance. The AI agency improves continuously — the models and workflows are always being calibrated against live performance data.
Stage 5 — Scaling and expansion (quarterly)
Quarterly reviews assess whether the initial scope is still optimal or whether new services, additional volume, or expanded coverage would deliver higher ROI. Scaling decisions are data-driven: if the content cluster is generating organic leads, the next logical step is expanding the topical map. If automations are saving 20 hours per week, the next logical step is identifying the next 20 hours to automate.
The deliverables produced at each stage are documented and handed over at the end of the engagement, so the client is never locked into the agency relationship by dependency on undocumented systems.
Ready to start the process?
Discovery call with Rashid Minhas — 45 minutes, define your scope, receive a written proposal.