What teams build · Templated Brains
A starting brain for every operating team.
Two ways to build on SynOS: run your company on agents with a Company Brain and function brains, or make your product agent-native — embed agents in the SaaS you ship. Each is a template your team owns, compounding on your data until it operates the way you do.
SynOS ships the operating layer; your team operates the brains on top — with Claude Code, Codex, or your own harness.
The Company Brain
One living context graph across every team — the policies, definitions, resolved entities, and tribal knowledge every agent and app reads from. Each function brain below sits inside it. Start with one function; the brain compounds across the rest.
See the Company Brain ↓Agent-Native Product
Make the SaaS you already ship agent-native — embed in-product agents that act on each customer's data, with a separate, isolated brain per customer. Or build a new AI product on the same rails. Own the brain, skills, and deploy; bring your own harness and models.
See the template ↓Function brains built inside the Company Brain
Sales Brain
Lead triage & follow-up, AI battlecards, pipeline hygiene & deal nudges, account & competitor context.
See the template ↓Marketing Brain
Campaign planning & decisioning, content & creative drafting, channel & ROAS digests, audience & cohort context.
See the template ↓FinOps Brain
Budget & spend pacing, cost-anomaly investigation, rightsizing & orphan cleanup, margin & unit-economics watch.
See the deep dive →Internal Ops Brain
Weekly ops digests & exceptions, SOP capture & playbook lookup, vendor/supply/fleet monitoring, incident handling.
See the template ↓Support / CX Brain
Ticket triage & drafted replies, voice-of-customer themes, churn & CSAT signal watch.
See the template ↓The Company Brain
The flagship template — and the one every function brain sits inside. It serves three groups at once: operators who know the business but can't code; function leaders tired of waiting on a backlog; AI engineering teams who want one shared layer instead of rebuilding context infrastructure for every team's request. Your team builds it on SynOS and owns it — then operates it with Claude Code (or any harness) on the shared Context Brain.
The teams it serves
Operators who know the business but can't code. Function leaders tired of waiting for a backlog. AI engineering teams who want one shared layer instead of rebuilding context infrastructure for every request. The brain serves all three.
What the Brain gives them
Living Context Brain — resolved entities, curated knowledge, learned skills, and the Self-Learning Loop. Agent-Native Storage for the work agents do. Scanned Sandboxes for the small apps non-engineers build on top. Access Control so the same scope rules govern every agent and app. Traces so the AI team sees what's running.
What teams typically see
The backlog of small-tool requests stops piling up. Non-engineers ship the custom 20% no SaaS will ever cover. Tribal knowledge stops dying in chat history — it gets captured and served back. Every new agent inherits what earlier ones learned.
Agent-Native Product
The same operating layer runs under a product, not just a company. Make the SaaS you already ship agent-native — embed in-product agents and copilots that act on each customer's own data — or build a new AI product on the same rails. Each of your customers gets a separate, isolated brain. Own the brain, skills, and deploy; bring your own harness and models.
The team
Product & platform teams adding AI to an existing SaaS, and AI-product builders or agencies shipping something new. The people who own the roadmap ship the AI feature; SynOS is the per-tenant brain underneath — no rebuilding context, governance, and traces per agent.
What the layer gives you
Multi-tenant Context Brain — a separate, isolated brain, storage, and permissions for every customer; no data crosses tenants. Skill registry your team owns. Scanned sandboxes for safe execution. Self-Learning Loop — production runs sharpen each customer's brain. Self-hosted in your cloud, or your customer's. Model- and harness-agnostic.
What teams typically see
Ship the AI story your customers are asking for without rebuilding infrastructure per agent — the second agent ships in days. Every run sharpens the brain your product runs on, per customer. You own the layer; no lock-in to a single model or agent stack.
Sales Brain
A template your sales team builds and owns on SynOS — agents that handle pipeline hygiene, deal context, and forecast prep so reps focus on selling and leadership sees signal instead of noise. Operate it with Claude Code (or any harness) on the shared Context Brain.
What the team runs
Pipeline Health Monitor — flags stage transitions gone quiet. Stale Deal Flagger — surfaces opportunities without recent touch. Forecast Drafter — confidence-weighted weekly forecast. Deal Context Compiler — all the Slack + doc context on a deal, before a call.
What the layer gives them
Context graph across CRM + Slack + docs + email — one resolved view of every deal, customer, contact. Skills for CRM updates, Slack nudges, doc generation — governed and observable. Self-Learning Loop learning which deal shapes convert and which stages are traps.
What teams typically see
Forecast accuracy improves as the brain learns the team's deal patterns. New reps inherit what the whole team has learned — onboarding compresses. Time on pipeline hygiene drops; time on actual deals goes up.
Marketing Brain
A template a growth team builds and owns — agents that span audience, creative, and spend across paid platforms. Non-engineers operate the agents; engineering ships the skills. Operate it with Claude Code (or any harness) on the shared Context Brain.
What the team runs
Campaign Builder — drafts campaigns across Meta + Google from a brief. Audience Segmenter — builds and refreshes audiences off CDP + Shopify behavior. Creative Reviewer — checks creative against brand rules + past winners. Spend Optimizer — reallocates within bounded daily limits.
What the layer gives them
Context graph across Meta, Google, Shopify, your CDP, past creative library. Skills for ad-platform actions — governed, bounded, audited. Sandboxes for spend changes — start in shadow, graduate to autonomous within daily caps. Self-Learning Loop on what creative + audience combinations actually convert.
What teams typically see
Time-to-launch on new campaigns drops. Non-engineering marketers self-serve workflows that previously needed engineering. Spend allocation tracks performance faster than manual review cycles. Creative learnings compound — losing variants stop being repeated.
Internal Ops Brain
A template your operations team builds and owns — agents that turn recurring ops work and tribal SOPs into a living, queryable layer. Operate it with Claude Code (or any harness) on the shared Context Brain.
What the team runs
Weekly Ops Digest — exceptions and trends from the week. SOP Capture & Playbook Lookup — captures how work is actually done, serves it back on demand. Vendor/Supply/Fleet Monitor — watches the operational tables that matter. Incident & Escalation Handler — triages and routes incidents.
What the layer gives them
Context graph across ops docs, ticketing, warehouse/ops tables, SOPs. Skills for digests, lookups, and alerts — governed. Agent-Native Storage for recurring ops records. Self-Learning Loop capturing how incidents were actually resolved.
What teams typically see
SOPs stop living in people's heads. Recurring exceptions get caught earlier. New ops hires ramp on captured playbooks. The weekly digest writes itself.
Support / CX Brain
A template your support team builds and owns — agents that draft replies, surface customer themes, and watch retention signals. Operate it with Claude Code (or any harness) on the shared Context Brain.
What the team runs
Ticket Triage & Draft Replies — categorizes and drafts on-brand responses. Voice-of-Customer Theme Miner — surfaces recurring pain themes. Churn & CSAT Signal Watch — flags accounts trending the wrong way.
What the layer gives them
Context graph across tickets, help docs, product/CRM, past resolutions. Skills for drafting replies, tagging, and escalations — governed. Self-Learning Loop on which resolutions actually closed tickets.
What teams typically see
Faster first-response with on-brand drafts. Recurring pain themes surface to product. Churn signals get caught earlier. Resolution knowledge compounds instead of resetting each ticket.
Don't see your team?
These are templates, not the ceiling. The operating layer underneath is the same. If your team is running AI workflows — or trying to — let's talk through the brain they'd build.