An agency runs repeated work across accounts: research, briefing, production, approvals, reporting, and follow-up. That repetition creates real opportunities for automation. It also creates a sharp risk: a plausible output can cross a client boundary, use stale information, or reach a customer before anyone checks it.
Choose the first pilot by the cost of a slow handoff and the availability of reliable source material. Keep client data separated, name the person who approves the result, and define a measure of quality before selecting a model. The workflows below are candidates to evaluate; the linked Psycray projects show two narrower systems we actually built.
Four agency workflows to evaluate
Start where a team already has repeated inputs, a clear output, and a review step.
Account research before outreach
A strategist or salesperson assembles the same company facts from several sources for each prospect.
- What a system could do
- Gather company facts, recent signals, and source links into a short brief. Mark inferences separately, and flag missing or conflicting data instead of filling gaps with confident prose.
- Data it needs
- Company domain, public sources, ideal-customer criteria, source dates, and permitted internal context.
- Person in control
- A person checks fit and evidence before contacting the account. Psycray’s linked company-intelligence agent is one delivered example.
Contact qualification with an audit trail
New leads arrive with incomplete titles, duplicate records, and little context for the owner.
- What a system could do
- Normalize and enrich a contact, explain the basis for a suggested score, and propose a next action. Keep the original record and the source of each added field.
- Data it needs
- CRM record, role criteria, consent and source metadata, permitted enrichment sources, and confidence.
- Person in control
- Sales or account staff accept, correct, or reject the qualification. An enrichment result should not silently overwrite a client CRM.
Campaign briefs and production
Teams repeatedly translate a client goal into channel briefs, creative requirements, and review tasks.
- What a system could do
- Turn an approved brief into a structured checklist, draft variants against the client’s actual brand and offer, and route them through editorial and client approval.
- Data it needs
- Approved strategy, brand rules, product facts, usage rights, channel specifications, and the current campaign plan.
- Person in control
- The strategist owns the claim, the creative lead owns quality, and the client approves material that represents them. This is a proposed pattern, not a delivered-project claim.
Reporting that explains the change
A monthly report repeats metrics but does not explain whether a campaign improved qualified demand.
- What a system could do
- Reconcile ad, analytics, and CRM definitions first; flag anomalies and draft observations with links to the underlying numbers. Compare outcomes against the agreed goal and prior period.
- Data it needs
- Campaign spend, qualified inquiries, opportunity stages, attribution rules, source definitions, and known tracking gaps.
- Person in control
- An account lead verifies causes and recommends action. Correlation in a dashboard is not proof that a campaign caused a sale.
What stays with people
- Separate each client’s data, credentials, prompts, and outputs. Test that a user or agent cannot retrieve another account’s material.
- Do not publish generated copy, quotes, case studies, or imagery without checking facts, rights, tone, and client approval.
- Use simple rules for predictable routing and reminders. Reserve AI for varied information that needs reading, synthesis, or judgment support.
A sensible starting point
- List ten repeated handoffs and score each for time lost, input quality, error cost, and ease of human review.
- Choose one narrow pilot with a baseline: for example, minutes per sourced account brief and the share of findings a reviewer accepts.
- Run a small set of real cases, including bad inputs and client-boundary tests. Expand only when the team can explain and trust the result.
Related service: AI strategy.