A marketing director browses your site at 9 PM and asks about B2B experience. The AI answers from your case studies, qualifies budget and timeline, and books Monday’s call.

Interested prospects get an interactive AI demo in about two minutes — something to click, not a PDF to skim. The follow-up sequence runs itself, approval-first.

Status questions, meeting requests and asset deliveries handled instantly — the account team hears about it in the log, not in an angry Monday email.

Each client’s monthly report assembled on schedule from your data — results, narrative, next steps — in that client’s template, before the team logs in.

The kickoff notes, the SOW and the client’s brand guidelines become a structured creative brief — drafted for the strategist to sharpen, not to start.

Every draft — copy, brief, report — lands in Output awaiting review. Nothing reaches a client without the account team’s decision.

PDF brand books, decks, spreadsheets, logo sheets, recorded kickoff calls — the ingestion pipeline turns the client’s pile into queryable knowledge.

No source in the client’s library, no claim: the AI cites the brand book, the SOW, the campaign deck — or says it cannot answer. No invented brand rules.

The team on the account queries the account. Permissions are role-based and server-enforced — client A’s strategy never surfaces in client B’s chat.

Client report, content calendar draft, campaign recap, SOW burn review: work types molded to your shop, each with default client libraries and examples.

The AI’s workload reads like the traffic board: urgent, late, today, tomorrow — one click, no deliverable ages silently.

Each work is a full session: reasoning streamed, sources cited, milestones tracked, linked to the client and the calendar.

Campaign launch checklist, reporting QA standard, asset naming convention, approval chain: one library, current versions on top, superseded drafts outranked.

“What is our pre-launch QA checklist for paid social?” — answered in seconds with the document attached, at 5 PM before the launch, to anyone authorized.

Work types carry their default playbooks: the AI drafting a campaign recap reads from the reporting standard — by construction.

New AMs and creatives learn your process, tools and standards through guided training — and ramp onto their accounts by reading libraries, not by shadowing for a month.

“What’s this client’s revision policy?” — asked to the assistant, answered from the SOW with the clause attached, while the creative director stays in the review.

Unlimited users means the pitch-week freelancer gets a login, scoped access to one client’s library, and the same instant answers as staff.

Incoming client mail is filed to the right workspace, a task opens for the AM, and a reply drafts in that client’s tone — queued for approval, never auto-sent.

An end date triggers the wrap report: results assembled, narrative drafted in the client’s template, learnings noted for the library — waiting in Output.

A form fill at 11 PM triggers qualification, the interactive demo send and the follow-up sequence — the AM finds a warm, documented lead at 9.

Segments built from the client’s own customer categories and dates inside their workspace — no CSV exports bouncing between tools.

Every draft grounds in that client’s brand book and approved campaigns — subject lines, tone, banned words — then waits for the account team’s eyes.

Past-client win-backs, case-study announcements, event invitations for the agency itself — drafted from your CRM, sequenced, approval-first.

Salesforce, HubSpot and beyond: contacts, deals and activity mapped field by field, with dry-run preview — push, pull or two-way, per client.

Performance exports, briefs and assets emailed by clients route through the intake pipeline to the right workspace — filed, not lost in a thread.

A full API for the rest of the stack: analytics, ad platforms, project tools — data in, results out, under scoped keys per integration.

Client materials live in separate workspaces with role-based access — the wrong chat physically cannot read the wrong brand strategy.

A searchable log of every audited action: who opened which client’s library, who changed which campaign, when — the answer to any client’s security questionnaire.

Nothing trains outside models; each client’s data stays in their library. Need more? The identical OS runs air-gapped on hardware you own.

Ask the chat: “we need help with paid social for a DTC brand” — watch it qualify, answer from sample cases and offer the discovery slot.

Ask: “how would you draft a monthly client report?” — it walks the workflow it would run in your tenant, grounded, cited, sign-off included.

The full demo loads an agency tenant with sample clients: brand-voice drafting, report assembly, clean separation — your shop, working.