Connecting the stack.
A data-operations runbook: how Alfred links your tools through secure read-only APIs, synthesises them into one institutional memory, and turns that into decisions — with zero engineering on your side.
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What this runbook covers
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One stack, six layers, one memory
| Layer | Component | What lives here |
|---|---|---|
| 0 | Data integrations | Secure read-only connections to every source in your stack |
| 1 | Module agent networks | The six marketing agents — Daily Brief, Spend Mix, Creative Fatigue, Anomaly Detection, AI Visibility, KPI Cockpit |
| 2 | Unified institutional memory | This organisation's specific patterns, outcomes and causal associations |
| 3 | Cross-module signal router | Routes a marketing signal to its implications in sales, finance and beyond |
| 4 | Causal reasoning engine | Finds causes, not symptoms — every hypothesis carries a Causal Confidence Score |
| 5 | Executive intelligence | The cross-function view for founders and the business |
Layer 2 is the moat — not the model, not the features. After ~6 months it holds context a competitor cannot backfill.
Connect in a week, with read-only access
Read-only by default. Every integration is a secure, read-only API token. Alfred reads your data — it never needs write access to start.
OAuth, not credentials. You authorise through each platform's own OAuth flow and revoke any source in one click. No passwords stored.
History comes with it. Up to a year of history syncs on connect, so the memory starts deep instead of empty.
Zero engineering. No pipelines, no warehouse, no data team. Connections go live in Week 1.
Everything Alfred reads today
| Category | Sources |
|---|---|
| Ad platforms | Google Ads · Meta Ads (Instagram / Facebook / WhatsApp) · LinkedIn Ads · Amazon Ads |
| Web & product analytics | Google Analytics 4 (GA4) |
| CRM & pipeline | HubSpot · Salesforce |
| Search & SEO | Google Search Console |
| Collaboration & delivery | Slack · Email |
The marketing module today. Every new source is read-only, OAuth-authorised, and live inside Week 1.
Read-only by default.
Alfred earns write access one decision at a time — and logs everything it touches. Governance isn't a setting; it's the architecture.
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From read to logged: how write-back works
Nothing Alfred does is silent or irreversible. The default state is read-only; write access is granted per decision, never blanket.
One signal, every downstream consequence
| Signal origin | Routed to | Implication Alfred raises |
|---|---|---|
| Creative fatigue in a paid segment | Sales | Lead quality from this segment is likely to dip — brief the team before pipeline reflects it |
| Spend reallocation toward a channel | Finance | Forecast and cash-flow assumptions shift — flag the variance early |
| Pipeline contribution drop | Founders | Revenue target is at risk — recommend a corrective play this week |
Marketing is live today. The router already maps each signal to its sales, finance and business implications as those modules come online — etiological, not just correlated.
If the data goes stale, you'll know
No silent staleness. If a feed lags or breaks, Alfred flags the affected KPI as stale rather than quietly serving an old number.
Honest degradation. When a source is down, Alfred narrows its confidence and says so — it never presents a partial picture as complete.
Continuous reconciliation. Sources re-sync on a schedule, so the Unified KPI Cockpit shows one reconciled state — not ten disagreeing tabs.
Stale sources are excluded from recommendations until they recover — never silently averaged in. Silent stale data is a trust failure, so Alfred refuses to hide it.
Built to be trusted with your data
Every integration is a secure, read-only API. Reading your data never requires write access.
Writes are encrypted and fire only on explicit human authorisation — never automatically.
Every action Alfred takes is logged: who approved it, what changed, and when.
Your data is isolated, with a private pattern library built for your organisation alone.
Foundational models are used API-only. Your data never trains a shared model.
No third-party data sharing, and no commercialisation of your intelligence.
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Your rollout, in two weeks
An admin who can authorise OAuth for each platform you want connected
Confirm the KPIs and alert thresholds that matter to leadership
Name the channels and business objectives Alfred should weigh
Secure read-only connections, with up to a year of history synced
Reconciliation into one Unified KPI Cockpit, no warehouse required
Your first daily briefing by Week 2; full operational readiness in ~2 weeks
Week 1 connect · Weeks 1–2 calibrate · Week 2 first daily briefing delivered. Time to first insight: under a week.
Connect once. Decide on everything.
Read-only, OAuth, zero engineering — your team barely lifts a finger. First insight in under a week, full readiness in two.
Book a connection session →
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