Before you buy tools or hire an AI lead, you need a plan. QONQA's AI Consulting engagements help marketing leadership figure out where AI actually fits — and where it doesn't — before a single workflow gets built.
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By the time a team calls us, the issue usually isn't a lack of AI tools — it's too many of them, with no plan tying them together.
Five different AI tools bought by five different people, none of them talking to each other.
Nobody on the team is accountable for whether AI initiatives are actually working.
A promising prototype that never gets budget, buy-in, or a path to production.
AI used in client-facing work with no review process, brand check, or compliance step.
We use this framework with every consulting client, whether they're evaluating their first AI tool or trying to rein in their tenth.
Mapping AI opportunities against your actual marketing roadmap and business goals — not against what's trending.
Review processes, brand safety checks, and compliance steps so AI output never goes out unchecked.
Tool and platform recommendations matched to your budget and existing stack — not the tools we happen to resell.
The skills, roles, and structure your team actually needs to run the plan after we leave.
Consulting engagements end with a concrete set of decisions and documents — not a slide deck that sits unread. Every deliverable is built to be handed to leadership, finance, or your board.
An honest audit of where AI could realistically help across your marketing org, and where it's not worth the effort yet.
Vendor-agnostic recommendations matched to your budget, stack, and team size.
Written policies for review, brand safety, and compliance so AI use stays inside clear guardrails.
A sequenced plan with cost and ROI projections leadership can actually sign off on.
What skills and roles you need, and how to build or hire for them over the next 6-12 months.
Optional retainer-based strategic check-ins as your stack, team, and the AI landscape evolve.
Interviews with stakeholders across marketing, sales, and ops to understand goals, constraints, and current AI usage.
Mapping your current tools, workflows, and data — and identifying where the real gaps are.
Building the roadmap, governance framework, and business case around what we found.
Presenting findings and recommendations directly to decision-makers, with room to challenge and adjust.
Staying available as you execute the plan, so the roadmap adjusts as reality does.
Marketing leadership at growing companies who need a real plan before the next budget cycle, not another tool trial.
Teams advising multiple clients who need a repeatable framework for AI recommendations, not a one-off opinion.
Anyone about to sign a contract with an AI vendor who wants an unbiased second opinion first.
Our Services engagements build a specific automation system. AI Consulting is the layer above that — figuring out what should get built, in what order, and under what guardrails, before any building starts. Many clients start with consulting and move into a build engagement afterward.
Yes, but we're not resellers — our recommendations are matched to your budget and stack, not to a partner commission. If the right answer is "you don't need a new tool," we'll say that too.
Most strategy engagements run four to six weeks from discovery to leadership review. Ongoing advisory continues on a retainer basis after that, if you want it.
Most of our consulting clients do. Usually the challenge isn't a lack of tools — it's making sense of the ones already in place and deciding what to keep, cut, or connect.
That's exactly what this service is for. You don't need a build plan to start a consulting engagement — you need a decision-maker willing to sit through discovery and assessment.