Automation & Integration
- Business process automation
- API & system integration
MAXimum SYNC · Technology & engineering consultancy
Make Complexity Work as One.
We integrate your business systems, AI agents and infrastructure into reliable, controlled operations — designed with clear ownership, observable behaviour and people in charge of every consequential decision.
Remote engagements · English · Worldwide
Capabilities
Four disciplines, one controlled operation.
Most technology problems sit between systems, not inside one. We work across the whole chain so integration, automation, infrastructure and day-to-day care fit together.
AI Agents & Orchestration
- AI agents with human gates
- Multi-agent orchestration
Linux, Servers & DevOps
- Linux engineering & server design
- DevOps & infrastructure management
Managed Operations & Support
- Managed operations
- Technical support & advisory
Explore what an engagement covers
Choose a discipline to see typical scope, deliverables and an illustrative scenario.
Business process automation
Turn repetitive, error-prone manual steps into dependable automated workflows with clear ownership and audit trails.
Typical scope
- Process discovery and mapping with the people who run it today
- Workflow design with explicit exception paths and manual fallbacks
- Implementation on maintainable, well-documented tooling
You keep
- Process map and decision log
- Automated workflows with monitoring
- Runbook for exceptions
Illustrative example — not a case studyAn operations team re-keys order data from email into an ERP each morning. The workflow is mapped, an intake parser is built with a validation step, and anything ambiguous is routed to a person instead of guessed.
API & system integration
Connect CRMs, ERPs, finance tools and in-house systems so data moves once, correctly, and visibly.
Typical scope
- Integration architecture: sources of truth, ownership, sync direction
- API connectors, webhooks and event pipelines with retries and idempotency
- Data mapping, reconciliation checks and failure alerting
You keep
- Integration architecture diagram
- Connectors with tests
- Reconciliation and alerting rules
Illustrative example — not a case studyA company runs sales, billing and support in three separate tools that disagree about customer status. A single customer record of truth is defined and the other systems are synchronised to it through monitored connectors.
AI agents with human gates
Practical AI agents that take on bounded, well-defined work — and hand control back to people at the decisions that matter.
Typical scope
- Use-case selection: where an agent helps, and where it should not act
- Tool access designed on least privilege, with explicit approval checkpoints
- Evaluation sets, logging and review loops before anything goes live
You keep
- Agent design and permission model
- Evaluation suite
- Human-gate and escalation policy
Illustrative example — not a case studyA support team wants faster first responses. An agent drafts replies from approved knowledge sources, but every customer-facing message passes a human approval gate until review data justifies more autonomy.
Multi-agent orchestration
Coordinate several specialised agents and automations as one controlled system, with traceable hand-offs and stop conditions.
Typical scope
- Orchestration design: roles, hand-off contracts, shared state
- Guardrails: budgets, timeouts, stop reasons and escalation paths
- Observability across the whole chain, not just individual steps
You keep
- Orchestration blueprint
- Trace and audit logging
- Operating and rollback procedures
Illustrative example — not a case studyA research workflow chains a collector, an analyst and a reviewer agent. Each hand-off is logged, the chain stops on low-confidence results, and a person signs off before anything leaves the system.
Linux engineering & server design
Hardened, reproducible Linux servers designed for the workload — from a single host to a small fleet.
Typical scope
- Server architecture, sizing and network layout
- Baseline hardening, access control and patching strategy
- Configuration as code so every server can be rebuilt predictably
You keep
- Reference architecture
- Provisioning and configuration code
- Access and patching policy
Illustrative example — not a case studyA business runs critical services on one long-lived, hand-configured server. Its configuration is captured as code, a rebuilt replacement is validated side by side, and cut-over happens with a tested rollback.
DevOps & infrastructure management
Delivery pipelines, environments and infrastructure that let teams ship changes safely and repeatably.
Typical scope
- CI/CD pipelines with tests, reviews and promotion gates
- Infrastructure as code for cloud and on-premise environments
- Secrets handling, backups and disaster-recovery rehearsals
You keep
- Pipeline definitions
- Infrastructure-as-code repository
- Backup and recovery runbooks
Illustrative example — not a case studyDeployments happen by copying files to production on Friday evenings. A pipeline with automated checks and a staging environment is introduced, and production releases require an explicit approval step.
Managed operations
Ongoing care for the systems we build or inherit: monitoring, maintenance and continuous improvement under an agreed scope.
Typical scope
- Monitoring and alerting tuned to what actually needs attention
- Scheduled maintenance, patching and capacity reviews
- Regular reporting on incidents, changes and recommendations
You keep
- Service scope and response terms
- Monitoring dashboards
- Periodic operations reports
Illustrative example — not a case studyAfter an integration project, the client prefers not to staff in-house operations. A defined maintenance window, alert routing and a monthly review keep the system healthy within an agreed scope.
Technical support & advisory
A senior technical partner for questions, reviews and escalations — without the overhead of a full-time hire.
Typical scope
- Architecture and vendor reviews before you commit
- Escalation support for complex incidents
- Knowledge transfer and documentation for your team
You keep
- Written recommendations
- Incident reviews
- Team documentation
Illustrative example — not a case studyA technical founder is choosing between two automation platforms. A short review compares them against the real workflows, data ownership and exit costs, and ends with a written recommendation.
Approach
From mapped reality to a system you can trust.
Five stages, each with a clear output. Approval gates sit where mistakes would be expensive, so progress stays fast without becoming reckless.
Map
Understand the systems, people and constraints as they really are — not as the diagram says.
- Interviews with the people who run the process
- Inventory of systems, data flows, credentials and owners
- Risks, dependencies and what must not break
Design
Agree on a target architecture, ownership and the checkpoints where people stay in control.
- Target architecture and sources of truth
- Human gates and escalation paths defined up front
- Scope, milestones and acceptance criteria in writing
Build
Implement in small, reviewable increments with tests, logging and documentation from day one.
- Infrastructure and configuration as code
- Automated tests and staging environments
- Regular demos against the agreed acceptance criteria
Gate
Nothing reaches production without an explicit approval, a rollback plan and someone accountable.
- Pre-release review against acceptance criteria
- Documented rollback and verified backups
- Named approver for every production change
Operate
Hand over cleanly, or keep it running for you — with monitoring, reporting and continuous improvement.
- Runbooks, diagrams and credentials handed to you
- Monitoring and alerting tuned to real signals
- Optional managed operations under an agreed scope
One coherent operation
Systems that used to disagree share a source of truth and move data once, correctly.
Fewer manual hand-offs
Repetitive steps are automated, and the exceptions that need judgement reach the right person.
AI you can supervise
Agents work inside clear permissions, with logs you can read and gates you control.
Infrastructure you can rebuild
Servers and environments are defined as code, backed up and recoverable — not tribal knowledge.
Calmer releases
Changes flow through tested pipelines with approvals and rollbacks instead of late-night heroics.
Knowledge that stays with you
Clear documentation and handover mean you are never dependent on a single person — including us.
Principles
Calm, controlled and transferable by design.
The standards we hold ourselves to on every engagement.
Human gates by design
Automation and AI agents act within explicit boundaries. Consequential actions — production changes, customer-facing messages, payments — pass a named human approval.
Least privilege
Every system, script and agent gets only the access it needs, scoped and revocable. Credentials stay in your control.
Observable by default
If it runs, it logs. Traces, alerts and audit trails are part of the build, not an afterthought.
Reversible changes
Every rollout ships with a rollback path and verified backups. Small, incremental releases over big-bang cut-overs.
Documented & transferable
Architecture, runbooks and decisions are written down so your team — or any competent engineer — can take over.
No lock-in by stealth
We favour open standards and tools you can own. Where a vendor platform is the right call, we make the trade-offs explicit.
Tools we commonly work with
Systems
- Linux (Debian, Ubuntu, RHEL family)
- systemd
- Nginx
- PostgreSQL
Delivery
- Git
- CI/CD pipelines
- Docker
- Infrastructure as code
Integration
- REST & webhooks
- Event queues
- Workflow automation
- Python & TypeScript
AI
- LLM APIs
- Agent frameworks
- Evaluation harnesses
- Retrieval pipelines
Selected per engagement. Listing a tool does not imply a partnership or endorsement.
FAQ
Questions we are usually asked.
What size of company do you work with?
Mostly small and mid-sized businesses and technical founders — teams that have outgrown ad-hoc tooling but do not want to build a large internal platform group. Scope is shaped around what you actually need.
Do AI agents act on their own in production?
Only within boundaries you approve. We design agents with least-privilege access and explicit human gates for consequential actions. Autonomy is expanded gradually, and only when review data supports it.
Can you work with our existing systems and vendors?
Yes. Most engagements start from what is already in place. We integrate and improve before we recommend replacing anything, and we make the trade-offs of any replacement explicit.
Who owns the code, infrastructure and credentials?
You do. Repositories, cloud accounts and credentials are set up under your ownership, and everything we build is documented for handover.
Do you offer ongoing support after a project?
Yes, as an optional managed operations arrangement with an agreed scope and response terms. Many clients prefer a clean handover instead — both are supported.
Do you work internationally?
Yes. Engagements are run remotely in English, with working hours agreed per project. Additional languages for the site, including Georgian, are planned.
Bring us the system that does not fit together yet.
Tell us what you run today and where it hurts. We will help you work out a sensible, controlled next step.