For agencies managing many brands and channels
A multi-client operating system for agency research, strategy, production, approvals, reporting, and profitability—with isolated context and human control.
A future-facing plan with explicit capability boundaries：This page describes the complete operating model Tomako is building toward. Every capability is labeled as either a current foundation or part of the broader product vision; outcomes remain hypotheses until connected data proves them.
An agency does not scale when it produces more drafts. It scales when every client receives differentiated judgment, the team can prove what changed, approvals do not disappear in email, and margin improves without hiding work behind a black box.
Tomako can give each account a durable, isolated context containing brand rules, claims, access, objectives, evidence, budgets, decisions, and receipts. Shared methods can scale across clients, while client facts, assets, permissions, and learning never cross boundaries.
Most teams already have ideas. Growth stalls because research, decisions, production, distribution, and measurement are split across tools and owners.
Strategy lives in decks and individual memory. The next writer or media buyer reconstructs positioning, constraints, and past decisions from scattered artifacts.
Business cost
Repeated discovery, inconsistent work, and key-person risk.
A task can be marked done while the client is reviewing an old version, a legal claim is unresolved, or the scheduled asset no longer matches the plan.
Business cost
Rework grows and accountability becomes ambiguous.
Dashboards show impressions and clicks but fail to explain why performance changed, what the agency recommends, who approved it, and what will stop next.
Business cost
Client trust erodes even when teams are busy.
?How can one strategist manage more accounts without genericizing the work?
?How do we isolate client data while reusing agency methods and quality standards?
?Can clients see the evidence, approvals, and decisions behind deliverables?
?Which accounts, services, and workflow steps actually create margin?
The useful unit is not a generated asset. It is a closed loop from context to evidence, approved execution, measurement, and the next decision.
Capture goals, audiences, proof, claims, budgets, channels, access, approvers, contract scope, and stop conditions in one durable context.
Proof of completion
Client-approved operating contract
Combine search, social, competitor, campaign, CRM, and customer evidence into a small set of scored recommendations.
Proof of completion
Evidence-linked opportunity queue
Prepare briefs and channel-native assets from approved sources while preserving version, owner, due date, quality gate, and client boundary.
Proof of completion
Reviewable deliverable package
Preview affected assets, channels, accounts, budgets, dates, and rollback before any connected write or publication.
Proof of completion
Named approval and execution receipt
Explain results against the baseline, uncertainty, scope, and commercial outcome; update both client backlog and agency method.
Proof of completion
Decision-ready client report
Tomako combines a persistent business context with specialized execution capabilities. Planned capabilities are shown deliberately so the roadmap does not masquerade as a live feature.
Keep brand, evidence, assets, credentials, approvals, goals, and history separated by workspace and role.
Deliverables
Monitor meaningful performance, competitor, search, social, review, delivery, and budget changes per account.
Deliverables
Create page, post, email, ad, visual, video, and reporting assets from account-specific evidence and shared agency standards.
Deliverables
Connect delivery time, scope, utilization, channel outcome, pipeline, revenue, and renewal risk to recommendations.
Deliverables
A useful AI CMO reduces coordination cost while preserving approval, accountability, and recovery. The operator should always know what changed, why, and what happens next.
Daily: maintain separated client signal queues and surface only changes that may alter an agreed plan.
Weekly: give each account a concise decision package—evidence, recommendation, expected effect, effort, owner, approval, and stop rule.
During production: route versions through agency quality gates and named client approvers; preserve comments and receipts.
Monthly: explain outcome, uncertainty, scope usage, margin, and next allocation instead of sending a dashboard screenshot.
Before / After
Illustrative planning window: two quarterly cycles
The sequence starts with instrumenting the funnel and proving one motion. Automation expands only after the team can see quality and business impact.
Days 1–30
Exit signal
A new team member can understand an account without cross-client leakage or repeated discovery.
Days 31–60
Exit signal
Cycle time falls without increasing revision rate or quality exceptions.
Days 61–90
Exit signal
The pilot supports more capacity and margin with stable quality and client trust.
Activity counts are diagnostic. The decision layer needs leading indicators, conversion steps, cost, and revenue or pipeline in the same view.
| Metric | Decision it informs | Source | Cadence |
|---|---|---|---|
| Strategist decision time | Separates valuable judgment from assembly work. | Workflow receipts | Weekly |
| Approval cycle and aging | Exposes blocked work before deadlines slip. | Approval log | Daily |
| Rework by root cause | Improves method instead of blaming people. | Version history | Monthly |
| Account contribution margin | Shows which scope and workflow create leverage. | Time + finance + scope | Monthly |
Failure mode
Cross-client data, prompt, or asset leakage
How Tomako should guard it
Enforce workspace and role isolation, source labels, credential boundaries, and red-team tests before scaling.
Failure mode
Automating outside contract or client authority
How Tomako should guard it
Map contract scope and connected permissions to every action; preview target account, domain, spend, date, and rollback.
Failure mode
Using output volume as a proxy for client value
How Tomako should guard it
Pair delivery metrics with decision quality, pipeline or revenue movement, retention, rework, and client confidence.
Beyond tasks, it should preserve separated client context, connect evidence to strategy and production, manage versions and approvals, record execution receipts, explain performance, and expose delivery economics.
The useful operating model is leverage, not replacement. AI can organize evidence, prepare variants, monitor changes, and assemble reports; strategists remain accountable for tradeoffs, client truth, claims, budgets, approvals, and the recommendation itself.
Define roles, scopes, claim boundaries, budgets, and approval points up front. Every material write or publication should show the target, change, evidence, expected effect, and rollback before a named person confirms it.
Start with your real context
Share your product, goal, constraints, and connected data. Tomako can organize the first diagnosis and show what should be approved before execution begins.