An autonomous operating system that actually runs your business.
SyntheStudio AI Ops is not a chatbot and not a dashboard. It's a coordinated team of specialized AI employees — receptionist, sales consultant, support agent, knowledge assistant, executive strategist — that answer customers, qualify leads, write proposals, manage tasks, monitor operations, and escalate to humans the moment judgment is required.
An AI operations platform for services businesses that need to move like a much larger team.
SyntheStudio AI Ops is the operating system built by SyntheStudio to run the front office of a modern services company — sales, support, delivery coordination, knowledge, and reporting — with a coordinated AI workforce under real human oversight. It replaces the tangle of chatbots, CRMs, help desks, and point AI tools with a single system where every agent, channel, and record shares the same context.
Who it's for
- • Agencies, consultancies, and studios (5–200 people) running client work end-to-end.
- • Professional services firms handling inbound leads, proposals, and ongoing accounts.
- • Founders and operators who want AI leverage without losing control, auditability, or brand voice.
- • Teams already juggling a CRM, inbox, chat widget, wiki, and a stack of AI tools — and want one system instead.
Who it's not for
- • Pure e-commerce or transactional SaaS with no human sales or delivery motion.
- • Teams looking for a single-purpose chatbot bolted onto an existing stack.
- • Organizations that require fully autonomous AI with no approval workflows.
What's in v1.0
SyntheStudio AI Ops v1.0 · In productionv1.0 is the first production release — a full operating system for the front office. Everything below ships in the box, wired together, on day one.
9 specialized agents (receptionist, qualifier, portfolio, proposals, support, success, ops, executive, learning) with prompts, tools, permissions, memory, and spend caps.
Website widget, email, WhatsApp, voice, and SMS through a unified conversation engine and outbound queue.
Visitors, leads, companies, contacts, customers, conversations, proposals, and tickets on one shared timeline.
AI-generated proposals with versioning, rollback, expiry signals, and portfolio-based recommendations.
Grounded answers with citations, article versioning, pending-approval queue, and retrieval telemetry.
Human-in-the-loop gates, safety layer, prompt-injection blocks, per-agent spend limits, and full audit trail.
Signals, briefings, strategy plans, simulations, and NLQ over your operational data.
Per-agent latency, cost ledger, health snapshots, timeline, workflow validation, and DLQ view.
Roles via has_role, row-level security everywhere, signature-verified webhooks, and PII scoping.
On the roadmap for v1.1 and beyond: referral automation, dead-letter queue replay, deeper KB retrieval telemetry, a global command palette, and on-call paging integrations.
One platform, replacing a stack of ten.
Most companies stitch together a CRM, a help desk, an email tool, a chat widget, a knowledge wiki, a project tracker, an analytics suite, and half a dozen point AI tools. SyntheStudio AI Ops collapses all of it into one coherent system where every module shares the same customers, the same conversations, the same knowledge, and the same intelligent workforce.
AI workforce, not chatbots
Each agent has its own system prompt, tools, permissions, memory scope, spend cap, and escalation rules — a real specialist, not a generic assistant.
Unified customer graph
Leads, companies, customers, conversations, proposals, and tickets share one contact timeline across every channel — nothing is siloed.
Human-in-the-loop by design
Approvals, safety rails, spend caps, and audit trails on every action. AI proposes, humans decide anything that touches money or trust.
The five layers of the operating system.
Every message, task, and decision flows through the same five layers. That's what makes the whole system behave like one coordinated organization instead of a bag of disconnected AI features.
Channels — where conversations happen
Website widget, email, WhatsApp, SMS, and voice all normalize into a single conversation model. Add a new provider in the settings and it appears everywhere immediately.
Orchestrator — who should handle this
An intent router inspects the message, the customer's history, the current pipeline stage, and available agents, then dispatches to the specialist most likely to succeed.
Knowledge — what the agent knows
A versioned, approval-gated knowledge base with RAG retrieval. Only human-approved articles are indexed. Every AI answer cites the source it drew from.
Tools & workflows — what the agent can do
Agents call typed tools (create lead, send proposal, book meeting, open ticket, invoke automation). Every action is permissioned, rate-limited, and logged.
Oversight — how humans stay in control
Approvals queue, live timeline, audit log, performance scorecards, cost ledger, and executive briefings — you always see what the workforce is doing and why.
Learning loop — how the system gets better
Every conversation, outcome, and correction feeds evaluations, prompt improvements, and knowledge suggestions — the OS gets sharper each week without a new deploy.
A single visitor, from hello to signed deal.
Here's what happens when someone lands on your website. Every step is a real module of the OS.
- 1
Visitor lands on the website
The widget records an anonymous visitor session with page context and referrer. No PII yet, no account required.
- 2
AI Receptionist greets them
Answers questions from the approved knowledge base with citations, understands intent, and — if the person is qualified — offers to connect them to sales.
- 3
Lead is created and enriched
The moment contact details land, a Lead record is created, tagged with source, intent, and BANT signals, and added to the pipeline.
- 4
AI Sales Consultant takes over
Asks discovery questions, understands the use case, references case studies, drafts a proposal, and books a meeting on the right calendar.
- 5
Proposal goes through approval
The draft appears in the Approvals queue. A human reviews the numbers and scope. One click sends it via the customer's preferred channel.
- 6
Follow-ups run themselves
If the customer goes quiet, the Follow-ups engine schedules the next nudge based on stage, past behavior, and permitted cadence.
- 7
Deal closes, hand-off to Support
Customer record is promoted, onboarding tasks are created, and AI Support takes over post-sale conversations — with the entire pre-sale context available.
- 8
Executive intelligence learns from the outcome
Win/loss is recorded, the sales scorecard updates, and the strategy layer feeds recommendations to the leadership briefing.
A team of specialists, not one generic assistant.
Each AI employee has a job description, a set of tools, a spend budget, memory that persists across conversations, and rules for when to escalate to a human.
AI Receptionist
First contact on every channel. Greets, qualifies, routes, and captures leads with the right context.
AI Sales Consultant
Runs discovery, matches solutions to needs, drafts proposals, books meetings, and moves deals through the pipeline.
AI Customer Support
Resolves questions from approved knowledge, opens tickets when needed, and escalates edge cases with full context.
AI Knowledge Assistant
Internal Q&A copilot for the whole team. Searches every approved doc, cites sources, and flags gaps in the KB.
AI Executive Strategist
Produces daily briefings, flags business signals (cost spikes, churn risk, pipeline stalls), and recommends actions.
AI Operations Engineer
Watches the workforce itself — tick queues, retries, error budgets, safety violations, agent latency and cost.
AI Proposal Writer
Turns discovery notes into structured, versioned proposals with pricing, scope, timelines, and approval routing.
AI Follow-up Manager
Owns cadence, timing, and channel selection for every open deal, ticket, and warm lead without becoming spam.
AI Portfolio Analyst
Analyses your customer portfolio for expansion, at-risk, and lookalike opportunities, and briefs the sales team.
Every operational surface a business needs.
Grouped the way an operator thinks about them — daily work, customers, workforce, knowledge, automation, executive, and operations.
Work
- Dashboard
- Inbox
- Tasks
- Approvals
- Workspace
Customers & sales
- Leads
- Companies
- Customers
- Proposals
- Portfolio
- Follow-ups
AI workforce
- Employees
- Agents
- Workforce
- Collaboration
- Tools
- Permissions
- Performance
- Memory
- Learning
Knowledge
- Articles
- Pending approvals
- RAG index
- Version history
Automation
- Workflows
- Automations
- Predictions
- Simulations
Executive
- Executive briefing
- CEO view
- Intelligence
- Command center
Operations
- Operations
- Health
- Timeline
- Audit
- Notifications
Settings
- Channels
- Org
- Team
- Internal
- Website
Meet customers where they already are.
Every channel normalizes into the same conversation model, the same contact timeline, and the same AI workforce. Turning a new provider on is a settings change — never a re-architecture.
- Website widget with realtime replies
- Email via Resend or SendGrid, inbound + outbound
- WhatsApp Business (Meta or Twilio)
- Voice via Twilio + Vapi or Retell
- SMS via Twilio or Vonage
AI grounded on your truth, not the internet.
Every AI answer is drawn from your approved knowledge base — a versioned, reviewer-gated library that the whole workforce reads from. If it's not approved, it's not indexed. If it changes, it's a new version with rollback.
Draft → Review → Publish
Uploads land as drafts. A human reviewer approves before anything enters the RAG index. Nothing leaks live.
Versioned + rollback
Every article has a version history. Roll back in one click. See exactly which version an AI answer came from.
Semantic + keyword retrieval
Hybrid retrieval picks the most relevant passages for the question, and every AI answer cites the source article.
You always know what the AI did, why, and what it cost.
Autonomy without visibility is a liability. Every action the workforce takes is logged, priced, approved where required, and reviewable.
Approvals queue
Anything that spends money, sends a proposal, or contacts a customer for the first time waits on a human click.
Per-agent permissions
Each agent has explicit tool access, a spend cap, an escalation policy, and safety-violation limits.
Live timeline & audit
Every event — who, what, when, why, cost — is streamed to the timeline and archived to the audit log.
Performance scorecards
P95 latency, success rate, cost per outcome, safety incidents — per agent, per module, over time.
Safety rails
Content classifier, tool dry-runs, and two-phase commits stop destructive actions before they execute.
SLA tracking
Approvals, escalations, and response times all measured against SLAs with alerting when they slip.
Cost ledger
Every AI call, message, and voice minute recorded to a per-tenant append-only ledger you can drill into.
Multi-tenant ready
RLS on every table, tenant scoping in every server function — safe by default, not as an afterthought.
Built for professional services businesses that want to scale without hiring linearly.
Agencies & studios
Handle inbound at any hour, qualify better, draft proposals faster, and let your team focus on the work.
Consultancies
Turn recurring questions into an approved knowledge base and let the AI workforce handle first response and follow-ups.
Operations teams
Give leadership a real executive briefing every morning — pipeline, cost, safety, agent performance — without building dashboards.
The questions everyone asks first.
Is this a chatbot?
No. A chatbot answers messages. SyntheStudio AI Ops is a coordinated workforce that answers, qualifies, drafts, schedules, escalates, and reports — across every channel and every module of the business.
Where does the AI get its answers from?
From your approved knowledge base, your CRM records, and your live conversation context. Nothing from the open web is presented as fact. Every AI answer is traceable to a source.
What if the AI gets it wrong?
High-risk actions — sending a proposal, invoicing, first customer contact — go through the approvals queue. Every action is reversible, logged, and evaluated. Regressions surface in the performance scorecard within a day.
Can we integrate our existing tools?
Yes. Channels, CRM, calendars, and email providers are pluggable adapters. If it has an API and a webhook, it can be added — WhatsApp, Twilio, Retell, Vapi, Resend, and SendGrid are already in the box.
How is data protected?
Row-level security on every table, per-agent permissions, signature-verified webhooks, HMAC-guarded public endpoints, and constant-time secret comparisons. Multi-tenant isolation is enforced at the database layer.
How does the system get better over time?
Outcomes are captured, human feedback is scored, weak prompts are surfaced, and the knowledge base is expanded from real conversations. It's a closed learning loop — no re-deploy required.
See it running.
Sign in to the workspace to explore the live system — the agents, the inbox, the approvals queue, and the executive briefing.