70%of Integration Projects Fail.Yours Won't.
Source: Industry research; MuleSoft Connectivity Benchmark Report
Average enterprise applications
MuleSoft 2025
Are actually integrated
MuleSoft 2025
Annual cost of poor data quality
Gartner
Data silos block AI initiatives, slow decisions, and cost millions. Integration FastTrack connects your systems in weeks, not months—with a proven methodology that delivers results.
The Hidden Cost of Disconnected Systems
Modern enterprises run on software—hundreds of applications processing millions of transactions. But here's the uncomfortable truth: most of these systems don't talk to each other.
The Failure Rate
of system integration projects fail or partially fail
$2.5M average cost of failed integration
Most common cause: Underestimating complexity
The Data Silo Problem
annual productivity loss from data silos
897 average applications per enterprise
Only 28% are integrated
The AI Bottleneck
of IT leaders say integration gaps impede AI adoption
Only 9% have fully deployed AI due to scaling challenges
10.3x ROI with strong integration vs. 3.7x without
The Speed Problem
average for integration pipeline development
78% of teams struggle with orchestration complexity
57% report needs change before integration completes
The Bottom Line
Your systems aren't just disconnected—they're actively holding back your business. Every customer inquiry that requires checking three systems. Every report that requires manual data compilation. Every AI initiative that stalls because the training data lives in silos. These aren't technology problems. They're business problems with technology solutions.
What Makes FastTrack Different
FastTrack isn't just a name—it's a methodology built on everything we've learned about why integrations fail and how to prevent it.
Outcome-First Architecture
The Problem
Most integration projects start with technology—which platform, which protocol. Six months later, systems are connected but business problems aren't solved.
Our Approach
We start with what you're trying to achieve. Unified customer view? Real-time inventory? AI-ready pipelines? The outcome shapes the architecture.
Result
Integration designed for how your business works. Every connection justified by value.
Pre-Built Accelerators
The Problem
Every integration starts from scratch. Custom code for common patterns. Reinventing authentication, error handling, monitoring.
Our Approach
We maintain a library of proven accelerators—pre-built components for common patterns, platforms, and use cases.
Result
Weeks instead of months. Proven patterns. Less custom code = fewer bugs.
AI-Ready Integration
The Problem
Most integrations connect systems for human consumption—screens and reports. But AI needs different patterns: streaming, bulk loads, feature stores.
Our Approach
We design integrations serving both human and AI consumers. Every pipeline considers downstream ML consumption.
Result
Integrations that enable AI, not block it. Single investment serves multiple purposes.
Reversible, Incremental Delivery
The Problem
Big bang approaches. All-or-nothing. Integrations so tightly coupled that fixing one thing breaks three others. No rollback.
Our Approach
Every integration designed for reversibility. Every phase delivers working functionality. Adjust without starting over.
Result
Value at every milestone. Lower risk. Ability to learn and adapt.
The Right Architecture for Your Challenge
Different integration challenges require different approaches. We match the pattern to your requirements—not force your requirements into our preferred technology.
API-Led Connectivity
Best For
Building reusable assets, composable architecture, partner integrations
How It Works
Three-layer architecture: System APIs (connect to systems), Process APIs (orchestrate logic), Experience APIs (serve applications)
Technologies
We Speak Your Systems
Integration isn't about learning one platform—it's about understanding dozens. We bring expertise across the enterprise software landscape.
iPaaS Platforms
Full implementation, migration, managed services
Implementation, B2B/EDI, MDM
Recipe development, automation
Pipeline development, AI integration
Data integration, MDM, quality
Event-driven, messaging
Cloud Integration Services
Enterprise Systems
CRM
ERP
HRIS
Finance
E-Commerce
Marketing
Service
Databases
Legacy Systems
We don't shy away from the hard stuff. Our team has deep experience connecting modern applications to legacy infrastructure:
FastTrack Methodology: 4 Phases to Connected Systems
A proven process that delivers working integrations in weeks, not months. Each phase builds on the last, with working deliverables at every milestone.
Discovery & Assessment
Deliverables
Integration assessment, prioritized backlog, architecture recommendations, project roadmap
Architecture & Design
Deliverables
Architecture document, API specifications, data mapping, security controls
Build & Iterate
2-week sprints with working deliverables. Integration by integration, not big bang.
Deliverables
Working integrations (incremental), automated tests, monitoring, documentation
Optimize & Transition
Deliverables
Optimized production integrations, complete documentation, trained team, support plan
Ongoing: Managed Services
Continue with 24/7 monitoring, maintenance, and optimization after launch
Integration Challenges We Solve
See yourself in these scenarios? We have proven solutions for each.
Unified Customer View
Challenge
Customer data scattered across CRM, support, billing, marketing, e-commerce. Sales can't see support history. Marketing doesn't know purchase patterns.
Solution
Real-time customer data integration with golden record management. Single API for unified profile.
E-Commerce + ERP
Challenge
Orders in Shopify, inventory in SAP, fulfillment in WMS. Manual entry causing delays. Inventory mismatches causing oversells.
Solution
Real-time order flow. Inventory sync. Automated fulfillment triggering.
AI/ML Data Pipeline
Challenge
AI team blocked by data access. Training data in production databases, marketing systems, third-party sources. No feature store.
Solution
Streaming pipelines feeding feature store. Historical backfill. Real-time inference access.
Workflow Automation
Challenge
Business processes spanning multiple systems require manual handoffs. Each handoff = delay + error.
Solution
Orchestrated workflows spanning all systems. Event-driven triggers. Automatic exception handling.
B2B Partner Integration
Challenge
Each partner = unique integration. EDI, API, flat files. New partner onboarding takes months.
Solution
Partner platform with flexible adapters. Standardized internal, partner-specific external.
Legacy Modernization
Challenge
Critical logic in 20-year-old mainframe. Can't replace (too risky). Can't integrate (no APIs). Blocking modernization.
Solution
API wrapper around legacy. Real-time access without modifying legacy. Gradual migration path.
Integration Solutions by Role and Industry
Whether you're leading technology strategy or waiting on data to ship features, we speak your language.
By Role
CTOs & Technical Leadership
You're responsible for technology strategy. Integration failures impact your credibility and team's ability to execute.
We Provide:
Clear architecture recommendations, risk mitigation, measurable outcomes
IT Directors & Enterprise Architects
You're managing 897+ applications trying to create coherence from chaos. Every new system adds complexity.
We Provide:
Scalable architecture, governance frameworks, platform expertise
Product Managers & Business Owners
You need data from System A + System B to deliver features. You care about outcomes, not plumbing.
We Provide:
Business-focused delivery, fast timelines, outcome-oriented approach
AI/ML Team Leads
You're blocked by data access. The data exists but it's trapped in systems designed for humans.
We Provide:
AI-ready pipelines, feature store integration, ML ops connectivity
By Industry
Financial Services
Open banking, real-time payments, fraud detection, compliance
Healthcare
EHR interoperability, HL7 FHIR, HIPAA-compliant patient data
Retail & E-Commerce
Omnichannel, inventory visibility, order management
SaaS & Technology
Product integrations, embedded iPaaS, marketplace connectivity
Manufacturing
Industry 4.0, IoT integration, ERP connectivity
Professional Services
Client data unification, project system integration
Get Started with Integration FastTrack
Clear engagement options for every integration need—from initial assessment to ongoing managed services.
Integration Assessment
Understanding your integration landscape and priorities
$15,000 – $35,000
2-3 weeks
- Current state assessment
- Integration opportunity analysis
- Prioritized roadmap
- Architecture recommendations
- Business case with ROI estimates
FastTrack Implementation
Specific integration projects with defined scope
$50,000 – $200,000
6-12 weeks
- Working integrations (incremental)
- Technical documentation
- Testing and validation
- Knowledge transfer
- 30-day support
Integration Transformation
Enterprise-wide integration modernization
$200,000 – $750,000+
4-12 months
- Integration platform implementation
- Multiple system integrations
- API management setup
- Governance framework
- Team training and enablement
Managed Services
Integration operations without internal overhead
$15,000 – $75,000
per month
- 24/7 monitoring and alerting
- Incident response and resolution
- Change management and evolution
- Capacity planning and optimization
Investment varies based on scope, complexity, and platform requirements. Schedule a discovery call for a detailed estimate.
Questions About Integration FastTrack
Answers to the questions we hear most often from integration teams and technology leaders.
Stop Letting Disconnected Systems Hold Your Business Back
Your data is your competitive advantage—but only if you can access and use it. Every day with disconnected systems is another day of lost productivity, missed insights, and blocked initiatives. Let's talk about what connected systems could enable for your business.
Free 30-minute consultation to discuss your integration challenges and opportunities. No sales pitch—just expert perspective on your situation.
Expertise Across Leading Platforms
At a Glance
Compatibility Matrix
Protocols
Message Brokers
Message Formats
Target Systems
Industry Deployment Patterns
How different industries deploy production-grade integration connectors with contract testing and reconciliation.
Manufacturing
ERP ↔ MES ↔ QMS Integration
Real-time production data sync with <500ms latency. 99.7% sync success across 800K+ records. Zero production impact during cutover.
Retail & E-Commerce
E-commerce ↔ ERP ↔ WMS ↔ Payment Integration
Order-to-cash flow integrity with <1 second latency. Inventory variance <0.1%. Seamless Black Friday 10x load handling.
Government & Public Sector
CAD/RMS ↔ Records Management ↔ GIS Integration
CJIS-compliant criminal justice data integration. 100% audit trail coverage. Zero data loss during cutover.
Energy & Utilities
SCADA ↔ GIS ↔ Asset Management Integration
Real-time asset status sync. GIS layer reconciliation <0.5% variance. Outage event propagation <2 minutes.
Architecture Decision Guide
Choosing the right integration architecture pattern for your systems and migration strategy.
| Approach | When to Use | Tradeoffs | Best For |
|---|---|---|---|
| Strangler Fig Pattern | Legacy modernization with gradual migration | Lower risk, longer timeline, dual-run complexity | ERP migrations, mission-critical systems |
| Event-Driven Integration | Real-time sync requirements | Scalable, resilient, requires message broker infrastructure | E-commerce, IoT, high-volume transactions |
| API Gateway + BFF | Multiple consumers (mobile, web, partners) | Centralized control, potential bottleneck | Multi-channel applications, API economy |
Tech & Deployment
Our technology stack and deployment options for production-ready integration connectors.
Protocols
REST/GraphQL/gRPC, SOAP, SFTP/S3, Kafka/Kinesis/PubSub, webhooks
Stacks
Node/TypeScript, Java/Spring, Python/FastAPI, Go; containerized
Message Formats
JSON/Avro/Protobuf/NDJSON/CSV; EDI X12 (270/271/276/277/835/837), HL7/FHIR
Target Systems
SAP/SuccessFactors, Oracle, Workday, Salesforce, ServiceNow, Dynamics, Netsuite; Okta/Azure AD (SCIM/OIDC/SAML); Snowflake/BigQuery/Redshift; ArcGIS/feature services; S3/GCS/Azure Blob; Triton/MLflow endpoints; VMS/WMS/TMS/EAM/CMMS
Observability
OpenTelemetry traces; Prometheus/Grafana or Datadog; ELK
Security
mTLS, JWS/JWT validation, key rotation; IP allowlists; audit logs
Inputs We Need
Critical inputs to ensure successful connector delivery and assess feasibility before engagement.
- Source/target contracts (OpenAPI/GraphQL/EDIFACT/X12/FHIR/NIEM/etc.)
- Test credentials + sandbox tenants; sample datasets; data ownership
- Error/timeout/rate-limit policy; throughput targets; idempotency rules
- Mapping specs; transformation rules; PII handling
- Environments, CI/CD, and observability access
Procurement & RFP Readiness
Common requirements for Integration vendor evaluation, data governance, and enterprise procurement.
Need vendor compliance docs? Visit Trust Center →
Outcomes
See the math →- •≥99.5% successful sync on sample data
- •Webhook + retry/idempotency logic battle-tested
- •Dual-run reconciliation with <0.5% variance
- •Alerting, runbooks, and versioned docs
What You Get (Acceptance Criteria)
Our standards →Spec pack: sequence diagrams, auth scopes, OpenAPI/Protobuf/Avro/JSON schema
Test harness: unit/contract/integration; replayable fixtures; mock servers
Error taxonomy + retry/backoff and idempotency keys
Reconciliation jobs + variance dashboards; backfill plan
Runbooks: deploy/rollback, replay, DLQ handling, on-call workflow
Security: SAST/DAST/SCA clean; secrets in KMS; PII masking; least-privilege
Docs: setup, versioning policy, change log, support SLAs
Timeline
3–6 weeks depending on protocol count and vendor responsiveness
Team
Integration lead, BE, BE/SRE, QA, architect; optional security reviewer
Inputs We Need
- •Source/target contracts (OpenAPI/GraphQL/EDIFACT/X12/FHIR/NIEM/etc.)
- •Test credentials + sandbox tenants; sample datasets; data ownership
- •Error/timeout/rate-limit policy; throughput targets; idempotency rules
- •Mapping specs; transformation rules; PII handling
- •Environments, CI/CD, and observability access
Tech & Deployment
Middleware: MuleSoft, Boomi, Apache Camel, Node.js/Python. Message Brokers: Kafka, RabbitMQ, AWS SQS/SNS. API Management: Kong, Apigee, AWS API Gateway. Contract Testing: Pact, Postman/Newman. Monitoring: Datadog, Prometheus + Grafana.
Proof We Show
Full evidence list →Frequently Asked Questions
Need More Capabilities?
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