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System integration

We connect your CRM, billing, and legacy systems so data moves between them without anyone re-typing it

Data sync
Real-timeIn place of nightly CSV exports
API sync
Two-wayREST, GraphQL, webhooks
Built with
RetriesIdempotent + monitored

  • Connected tools

    Your CRM, billing and operations tools share data

  • Automation

    Steps that ran by hand now run on their own

  • Cloud and legacy

    We connect current SaaS tools to older systems

JarvisMCP, running in production
In production · JarvisMCP
How we built it

In short

REST, GraphQL, and webhook integrations with OAuth, IP whitelisting, and automated reconciliation between cloud and legacy systems. For APIs that don't exist we build RPA bridges, database connectors, and file-based pipelines with audit trails.

How it runs

Systems that agree with each other

A sync layer between your tools moves each change once, in order, with retries and a log you can read.
01 Source02 Sync layer03 DestinationOnline storePoint of saleWebsiteSupplier feedAPI sync with retriesAccountingInventoryCRMERP

Integration features

We connect the tools you already run, then sync, secure, and watch them for failures

API Integration

API connections between your systems

Uptime: Monitored / Response: Fast / Success: Retried

  • RESTful API support
  • GraphQL integration
  • Real-time webhooks
  • Custom endpoints

Data Synchronization

Keep your data in sync across all platforms

Sync: Real-time / Quality: Validated / Volume: Scalable

  • Real-time sync
  • Conflict resolution
  • Data validation
  • Error handling

Cloud Services

Cloud infrastructure sized to the workload

Availability: Designed / Scaling: Auto / Reach: Global

  • Multi-cloud support
  • Auto-scaling
  • Load balancing
  • Disaster recovery

Security

Access control and encryption for your integrations

Encryption: 256-bit / Access: OAuth / Monitoring: Alerts

  • End-to-end encryption
  • Access control
  • Audit logging
  • Compliance reporting

Integration process

Map the data, build the connectors, reconcile, then monitor
  1. 01 Analysis1-2 weeks
    1-2 weeks
  2. 02 Development4-8 weeks
    4-8 weeks
  3. 03 Data Migration2-4 weeks
    2-4 weeks
  4. 04 Deployment1-2 weeks
    1-2 weeks
  5. 05 Validation1-2 weeks
    1-2 weeks
  6. 06 MaintenanceOngoing
    Ongoing

Typical build: about 9–18 weeks to launch, then ongoing support. Solid bars are the short estimate, the faint tail the long one.

  1. 01 / 1-2 weeks

    Analysis

    System analysis and requirements gathering

    System Audit & Evaluation / Integration Requirements / Architecture Planning / Technical Feasibility

  2. 02 / 4-8 weeks

    Development

    Integration development and testing

    API Development / Data Structure Mapping / Integration Testing / Connector Building

  3. 03 / 2-4 weeks

    Data Migration

    Secure data transfer between systems

    Data Cleansing / Schema Transformation / Validation Rules / Historical Data Transfer

  4. 04 / 1-2 weeks

    Deployment

    System deployment and configuration

    Environment Setup / Load Testing / Monitoring Configuration / Performance Optimization

  5. 05 / 1-2 weeks

    Validation

    End-to-end testing of each integration

    Integration Verification / End-to-End Testing / User Acceptance / Performance Benchmarking

  6. 06 / Ongoing

    Maintenance

    Ongoing support and optimization

    Monitoring & Alerting / Performance Tuning / Version Updates / Continuous Improvement

What we connect

API integration

REST, GraphQL, and webhook connections between your tools

  • Protocols: REST, GraphQL
  • Events: Webhooks
  • Auth: OAuth

Data synchronization

A change in one system shows up in the others

  • Direction: Two-way
  • Retries: Automatic
  • Writes: Idempotent

Security

OAuth, IP whitelisting, and encrypted credentials

  • Encryption: 256-bit
  • Credentials: Encrypted
  • Access: IP allowlist

Monitoring

An alert goes out when a sync fails

  • Checked: Every sync
  • Alerts: Real-time
  • Reports: Custom

FAQ

Frequently asked questions

How integrations get built, secured, and maintained across modern and legacy systems.

What types of system integrations do you build?

We build API integrations between cloud platforms, database synchronizations between on-premise and cloud systems, real-time data pipelines, and middleware solutions that connect legacy software to modern applications. If data needs to flow between systems, we can build it.

Can you integrate systems that don't have APIs?

Yes. We use multiple approaches: database connections for systems with accessible databases, file-based integrations for systems that export CSV/XML, RPA (robotic process automation) for systems with only user interfaces, and custom connectors when needed.

How do you ensure data accuracy across integrated systems?

We validate data at each connection, run reconciliation checks, keep audit logs, and alert you when records disagree.

What about security for system integrations?

We use encrypted connections, OAuth, API keys limited to what each connection needs, IP allowlists where they help, and access logs.

Do you provide ongoing support for integrations?

Yes. Support covers monitoring, error handling, updates when a connected system changes its API, and technical help.

Work

Related case studies

ButlerCRM's shared customer records, the JarvisMCP gateway between AI agents and our systems, and the Kintunnel VPN manager.
  • ButlerCRM, running
    Business Systems

    ButlerCRM

    ButlerCRM keeps contacts, deals, email, calendar and tasks in one workspace that updates live for everyone in it. We rebuilt it on Elixir/Phoenix so changes appear for the whole team as they happen.

    Read the case study
  • JarvisMCP, running
    Developer Tools

    JarvisMCP

    JarvisMCP gives AI agents one governed door into our company systems: CRM, search intelligence, infrastructure, memory and coordination. Agents find the capability they need, act through it, and leave a record. They never hold the keys.

    Read the case study
  • Kintunnel, running
    Cloud & Infrastructure

    Kintunnel

    A public infrastructure project that manages VPN access for families and small teams. WireGuard networking, Docker-native deployment, and self-hosted operational control.

    Read the case study

How we work

How a change reaches production

The same five gates for our own products and for yours. Nothing reaches your customers on the strength of a demo.

  1. 01 · Isolate

    Its own branch and workspace

    Every change starts in a separate copy of the code, so work in progress never touches what is live.

    git worktree add .worktrees/your-change
  2. 02 · Build

    Engineers with AI agents

    Agents write and test code beside us. They hold no passwords: every call they make goes through our gateway, which checks it and logs it.

    agent → gateway → policy · audit · call
  3. 03 · Prove

    Evidence, then review

    Tests, before-and-after screenshots of the running app, then independent reviewers. It does not move on until no serious finding is left.

    review: 0 high · 0 medium → pass
  4. 04 · Ship

    Deployed and checked live

    The pipeline builds and deploys. Then we check the running service itself, not just a green build.

    replicas 1/1 · image sha matches · health 200
  5. 05 · Watch

    Checked every night

    Each integration we run is tested against its provider every night, so a changed API is caught before your team notices.

    nightly: each integration vs its provider

Connect your systems

Tell us which systems aren't talking. We'll map the fix.
Get in touch (954) 834-3426