Someone will try to break it.
Jailbreakers want discounts and refunds. Spammers want to flood your queue.
- Can a clever prompt talk it into a refund?
- Are limits enforced in code, or just in the prompt?
- What stops a bot from flooding it?
Building a chatbot is easy. Running an AI agent is not.
Most internal builds stop at a chatbot or a basic email autoresponder. A real AI agent acts on orders and accounts, works every channel, resists attacks, and keeps improving as models change. Octocom gives you that on day one.
After version one
Every “can it also” is another system.
Version one connects a model to your help center. Then the business starts asking for things.
- 01
“Can it check an order?”
Now you needCustomer authenticationCommerce integrations - 02
“Can it change the order?”
Now you needPermissionsValidationRetriesAudit logs - 03
“Can it answer email too?”
Now you needInbox ingestionThreadingDeliverability - 04
“Can it answer the phone?”
Now you needVoice stackLow latencyInterruption handling - 05
“Can it hand off to us when it gets stuck?”
Now you needHelp deskRoutingContext handoff - 06
“Can support update a policy without a deploy?”
Now you needEditorVersioningRollback - 07
“How much revenue did it drive?”
Now you needAttributionAnalytics - 08
“The model provider is down. Are we?”
Now you needModel failoverAlerts - 09
“Someone talked it into a 100% discount.”
Now you needGuardrailsLimits enforced in code - 10
“We are getting spammed.”
Now you needRate limitsAbuse detection
Ten requests in, and you have rebuilt a fraction of Octocom.
What you would own
The model is the smallest part of the system.
Customers see answers. Production needs everything underneath them, maintained and improving every week.
What customers see
AnswersRecommendationsResolutions
LLM API
Channels
- Web chat
- Voice
- SMS
- Instagram & Facebook
- Reviews
- And more
Knowledge & data
- Knowledge base
- Product sync
- Customer identity
- Conversation memory
Actions & logic
- Integrations
- Workflows
- Permissions
- Scheduled jobs
- Human handoff
Operations
- Live editing
- Version history
- Rollback
- Analytics
- Revenue attribution
- Help desk
Reliability
- AI guardrails
- Bot QA
- Model failover
- Alerts
- Audits
Security & compliance
- Penetration tests
- Abuse monitoring
- Incident response
- GDPR
- EU AI Act
Not a traditional SaaS vendor
In-house flexibility, at off-the-shelf speed.
Traditional SaaS is fast until you need something it doesn’t support. An internal build can do anything, eventually. Octocom is live on day one and customizable down to the code.
Time to go live
- Traditional SaaS
- Weeks
- Internal build
- Months
- Octocom
- Day one
Your own logic, in real code
- Traditional SaaS
- Limited
- Internal build
- Yes
- Octocom
- Yes
Connect any internal API
- Traditional SaaS
- Limited
- Internal build
- Yes
- Octocom
- Yes
New idea to production
- Traditional SaaS
- Feature request
- Internal build
- Next sprint
- Octocom
- Same day, with Copilot
Non-engineers can change it safely
- Traditional SaaS
- Limited
- Internal build
- Build it
- Octocom
- Yes
Every channel, one agent
- Traditional SaaS
- Varies by vendor
- Internal build
- Build each one
- Octocom
- Yes
Model failover and evaluations
- Traditional SaaS
- Limited
- Internal build
- Build it
- Octocom
- Yes
Jailbreak, spam, and leak defense
- Traditional SaaS
- Varies by vendor
- Internal build
- Your team
- Octocom
- Yes
Pentests, GDPR, incident response
- Traditional SaaS
- Varies by vendor
- Internal build
- Your team
- Octocom
- Yes
Proven in production
- Traditional SaaS
- Varies by vendor
- Internal build
- Starts at zero
- Octocom
- Hundreds of millions of conversations
Custom behavior shouldn’t mean rebuilding the whole system in-house.
Customizable down to the code
If you can describe it, you can build it.
Octocom has the same building blocks your engineers would use to build it themselves: real code, your APIs, schedules, and custom screens. They just run inside a platform that already handles guardrails, testing, versioning, and security.
Your ideaWhat builds it
“Check our warranty system before approving a refund.”
Custom actions. Code the agent runs to read from or act on any system you have.
“Use a different refund policy for VIP customers.”
Workflows and conditions. Step-by-step playbooks that adapt to who the customer is.
“Alert us in Slack when someone threatens a chargeback.”
Event handlers. Code that runs automatically when something happens in a conversation.
“Every morning, flag orders stuck in the warehouse.”
Scheduled jobs. Code that runs on a schedule, with nothing to host.
“Show agents the customer’s loyalty tier on every ticket.”
Sidebar widgets. Your own data and buttons inside the help desk.
“Give customers a page to file a warranty claim.”
Custom pages and endpoints. Your own web pages and URLs, hosted by Octocom.
“Let our internal AI agent manage Octocom.”
REST API and MCP. Control Octocom from your own tools and AI agents.
The freedom of building it yourself. None of the platform to maintain.
Octocom Copilot
Same idea, same day.
You don’t need to learn any of it. Describe what you want, and Copilot builds it, tests it against your agent, and waits for your approval. Every change is versioned and can be rolled back.
- Internal build
- TicketSprintDeployHope
- Octocom
- AskCopilot builds and testsYou approve
Letting non-engineers vibecode production changes is faster too. It is also how a refund tool ends up open to everyone.
Copilot
You asked
When a customer threatens a chargeback, tag the conversation and alert #support-leads in Slack.
Changes
Event handler
Runs when a chargeback is threatened
Conversation tag
chargeback-risk
Tested
6 of 6 tests passed
Versioned · Rollback anytime
The parts nobody demos
Mistakes cost money. Some create liability.
Your internal agent competes with a team that works on these problems every day, uses the same AI tools your engineers do, and has hardened its answers across hundreds of millions of conversations.
One leaked order is a legal problem.
An agent with access to customer data can be manipulated into sharing it.
- Can it reveal another customer’s order?
- Can it expose internal product or pricing data?
- Has anyone pentested it?
It will be wrong sometimes.
Hallucinations and failed tool calls are rare with good engineering. Not with a weekend build.
- Does it guess when knowledge is missing?
- What if a tool times out mid-refund?
- Does it confirm actions that never happened?
Models change. Providers go down.
A new model can win benchmarks and still get worse at your refund policy.
- If the provider goes down, does support go down?
- Does the new model still follow policy in German?
- Who runs the regression tests?
It is still software.
Most failures are not AI failures. They are the same edge cases every product hits.
- What happens when the network drops mid-chat?
- Does the widget work on a five-year-old phone?
- Do email threads survive every mail client?
An agent that acts needs a paper trail.
Once it can refund or cancel, you need to see exactly what it did and why.
- Which data did it read?
- Which tool did it call, with what inputs?
- Who changed its instructions, and when?
Security and compliance
We carry the risk.
When an AI agent touches customer data and payments, someone runs the pentests, passes the security reviews, picks up at 2am, and answers for it when something goes wrong. With an internal build, that is your team. With Octocom, it is ours, backed by contract.
- Pentested and auditedRegular third-party penetration tests. Reports available to enterprise customers.
- Cleared by enterprise securityPassed the security reviews of large enterprises.
- Security on callA security team member is always online for alerts.
- GDPR, NIS2, EU AI ActCompliant, with a DPA, published subprocessors, and AI disclosure on every channel.
- Hosted in the EUIncluding AI model inference.
- Never trained on your dataNot by us, and not by our model providers.
- Built for AI-specific threatsOWASP AI guidance, plus continuous adversarial testing.
- Enterprise access controlSSO, 2FA, role permissions, and audit logs.
Already building?
Your work isn’t wasted. We pick up where you left off.
Bring the prompts you tuned, the APIs you built, and the rules you wrote. Our team and Copilot move them into Octocom in about a day, then take them further.
- 01
Hand over
Share your prompts, APIs, and business rules.
- 02
Port
We rebuild them on Octocom, typically within a day.
- 03
Compare
Run both agents on the same conversations.
- 04
Expand
Shift traffic gradually, with our solutions engineers. Only if Octocom wins.
If your build wins, keep it. If Octocom wins, you just saved years of platform work.
Don’t decide this philosophically
Put Octocom against your internal agent.
Same conversations, same APIs, same success criteria. Compare resolution rate, accuracy, and the effort it took to get there.