AI Agents That Actually Ship
No demos. No smoke and mirrors. We build AI agents with proper monitoring, SLAs, and maintainability baked in from day one. Real systems for real problems.
The Laimon Product Suite
These aren't prototypes. Each one is a live product with its own customers, running real business processes end to end—with the monitoring, escalation paths, and audit trails to prove it. All four share the same Laimon Agentic Architecture.
Laimonade
laimonade.com →The AI Product Owner for Coding-Agent Teams
Your coding agents can already write the code. Laimonade owns what comes before and after: grooming the backlog, running the sprint, handing agents their work orders over MCP, and closing stories on Git evidence rather than on someone's say-so.
Classic trackers only record what humans type into them. Laimonade is a Scrum tool with the Product Owner built in—a story closes when the commits that implement it have actually landed on your repo.
What It Does
- → Turns direction and constraints into a prioritised backlog
- → Runs the sprint ceremony loop without a human chasing it
- → Verifies delivery against the repo before closing work
Technical Stack
Production Features
- → Milestones, epics and stories created in chat
- → Sprints that roll over on schedule, unattended
- → Work orders served to coding agents over MCP
- → Web, macOS desktop and mobile clients
Technical Stack
Production Features
- → Graduated autonomy, capped per category
- → Full run history for every action taken
- → Wait-state monitoring with alerting
- → Findings routed back into the backlog
Laimonflow
laimonflow.com →Build, Run & Monitor Your AI Agents
One agent per business process. Laimonflow is the platform for standing an agent up, putting it to work, and keeping an eye on it—so you always see what it handled on its own, what it escalated, and what it's waiting on you for.
Autonomy is earned, not assumed. Agents start reactive, graduate to nudging you when they spot something, and only then run unattended on the categories they've proven themselves on.
What It Does
- → One agent scoped to one process—no sprawling do-everything bot
- → Daily digests and watchdogs on anything stuck waiting
- → Escalations arrive with the reasoning attached
Laimontree
laimontree.com →Organizational Design, Down to the Activity
Laimontree designs your teams, departments and business units. It interviews the people who work in them, then turns what they said into a charter for each unit: its goals, how its time splits across activities, the decisions it makes on its own, and the roles it has to hire.
Every activity is scored for what AI can take over—so restructuring around automation stops being a guess. You review and validate every output before it moves to the next stage.
What It Does
- → Interviews every stakeholder in parallel, in their own language
- → Scores root causes, each traceable back to the interviews
- → Delivers unit charters, not a diagram
Technical Stack
Production Features
- → Self-service interview booking per stakeholder
- → Root causes evidenced by the source transcripts
- → 10–15 candidate structures scored against your criteria
- → Human validation gate at every stage
Technical Stack
Production Features
- → One-line install, Shadow DOM isolated
- → WhatsApp Business as a primary channel
- → Voice conversations, browser-native
- → MCP access so your own agents can query it
Laimonchat
laimonchat.com →AI Support Chat That Captures What Users Ask For
One script tag on your site and you have a support agent. It answers from your own knowledge base, files bug reports and feature requests as structured tickets, and hands the conversation to a human the moment it can't help.
Support usually loses the signal in the transcript. Laimonchat keeps it: every unanswered question and every request becomes a ticket your product team can actually work from.
What It Does
- → Answers grounded in your docs, with the source shown
- → Escalates to a human takeover inbox on demand
- → Speaks every language your customers do, out of the box
The Laimon Agentic Architecture
All four products run on the same agentic architecture: one clearly scoped process per agent, graduated autonomy, full run history, and a human in the loop where it counts. That's why they behave the same way in production—and why the next one will too.
Built for Real Operations
AI agents are not toys. They're production systems that need monitoring, SLAs, incident response, and continuous improvement. Here's what proper ops looks like.
Full Observability
Every action is logged. Every decision is traceable. Your team sees exactly what the agent did, when, and why—no guesswork.
- → Structured logs of every agent decision
- → Real-time latency and accuracy metrics
- → Cost tracking per interaction
- → Hallucination detection & alerts
Defined SLAs
No surprises. Your team knows uptime commitments, response times, quality thresholds, and exactly how to respond when something breaks.
- → Service availability commitments
- → Response time SLOs
- → Quality and accuracy thresholds
- → Incident response runbooks
Built for Your Team
Not a black box. Your engineers understand the architecture, can debug failures, and can improve the system. Transparent by design.
- → Clear, documented system architecture
- → Decision logs for debugging
- → Safe deployment and rollback procedures
- → Easy to iterate and improve
Continuous Improvement
Agents get smarter over time. Failures become training data. Your team controls what the system learns and when it gets better.
- → Human-in-the-loop feedback systems
- → A/B testing of improvements
- → Performance trending and analysis
- → Controlled iterative refinement
Who We Work With
We don't try to cover every domain ourselves. Where a problem needs specialist depth, we bring in partners who build to the same standard we do.
Lymwave
lymwave.com →SEO & AI Search Growth, On Autopilot
Lymwave automates the whole content workflow—spotting opportunities in Search Console data, producing optimised articles, publishing them, and monitoring what happens next. It plugs into the stack you already run rather than replacing it.
Where They Fit
- → Organic visibility for the products we build
- → Content pipelines wired into WordPress, GitHub and other CMSs
- → Being found by AI search, not just classic SERPs
HelixWard
helixward.com →AI Security for Code, Email and the AI You Ship
One security agent working three fronts: the flaws attackers can actually reach in your code, the phishing landing in your team's inbox, and the AI features you ship to customers. It reports in plain language and asks before it acts.
Where They Fit
- → Dependency and code review ranked by real reachability
- → Agentic email analysis for teams without a security function
- → Red-teaming the agents we put into production
Building something that needs one of these alongside it? Tell us what you're working on and we'll bring the right people to the table.
Ready to Ship Production AI
If you have a real problem that needs intelligent automation—something that requires proper ops, monitoring, and transparency—let's talk. We build systems that teams trust.
contact@digiscope.eu