Automate the Work Around Your Product
We build AI-powered workflows around your product — connecting users, data, APIs, business systems, and your team so repetitive processes happen automatically while important decisions remain under control.
AI workflows · APIs · Integrations · Custom logic · n8n / Make / Zapier
When the Workflow Matters, Reliability Matters Too
Move past brittle no-code automations that fail silently when payloads shift. We build defensive, monitored workflow infrastructure.Connecting two apps is easy. The harder part is designing what happens when data is missing, an API fails, AI returns the wrong structure, a customer responds unexpectedly, or an important action needs human approval.
Workflow DesignWorkflow Design
Clean structural state machines, idempotent task definitions, and edge-case mitigation before writing a single line of orchestration logic.Map triggers, decisions, dependencies, ownership, and exception paths before automating the process.
Production IntegrationsIntegrations
Direct OAuth, rate-limit compliant webhook listeners, backoff queues, and authenticated REST/GraphQL synchronization pipelines.Connect product data, SaaS tools, databases, CRMs, messaging platforms, payment systems, and external APIs.
AI Decision SupportAI Decision Support
LLM-backed extraction, parsing, and context matching with typed JSON outputs, safety boundaries, and strict hallucination guardrails.Use LLMs for classification, extraction, summarization, generation, routing, and structured outputs where ambiguity exists.
Custom LogicCustom Logic
Serverless edge workers and background micro-services engineered specifically for business rules that cannot be shoehorned into UI form builders.Use Node.js, Python, serverless functions, databases, and APIs when automation platforms alone cannot safely support the workflow.
“No-code where it works. Custom engineering where it matters.”
What We AutomateAutomate the Work That Happens Around the Product
High-impact automated backbones connecting customer touchpoints with production infrastructure.Some workflows happen directly inside the application. Others connect the product to customers, internal teams, CRM systems, payments, communication channels, or external services.
Product & User Workflows
Product-triggered automation, onboarding flows, account lifecycle events, approvals, background processing, product notifications, user state changes, product-to-business-system synchronization.
AI Processing
Document extraction, summarization, classification, structured outputs, content transformation, knowledge retrieval, AI-assisted decision support.
Customer Operations
Customer onboarding, approval workflows, reminders, account updates, service status changes, support routing, customer communications.
Payments & Commerce
Stripe events, subscription workflows, payment-triggered actions, Shopify workflows, order processing, inventory synchronization, operational notifications.
Leads & CRM
Lead capture, enrichment, qualification, CRM updates, routing, follow-ups, sales notifications.
Internal Operations
Team notifications, task creation, data synchronization, spreadsheet replacement, reporting workflows, internal approvals, operational handoffs.
Automation ArchitectureThe Workflow Is More Than the Automation Tool
Seven clean, decoupled architectural layers designed for total visibility, determinism, and zero dropped payloads.Reliable automation depends on the systems around the workflow — product events, data, APIs, validation, permissions, failure handling, AI boundaries, and human review.
Event & Webhook IngestionProduct & Triggers
SaaS events, webhooks, cron timers, and database change feeds.User actions, product events, forms, webhooks, schedules, CRM changes, external events
Validation & Schema GuardsOrchestration
HMAC verification, rate throttling, and payload structure sanitization.n8n, Make, Zapier, queues, serverless workflows, scheduled jobs
State Machine EngineBusiness Logic
Durable multi-step queues, deterministic routing, and branch logic.Validation, routing, conditions, transformations, permissions, product rules
LLM Context ReasoningAI Layer
Deterministic prompts, typed function calling, and document classification.OpenAI, Claude, extraction, classification, RAG, structured outputs
Target System WritersTools & System Access
Idempotent API mutations, database updates, and external webhooks.REST APIs, webhooks, MCP-compatible tools, databases, internal services, third-party systems
Audit Trail & Data LakeActions
Full step execution history, token consumption, and payload archives.Product updates, CRM actions, messages, emails, payments, tasks, documents, notifications
Human Review & ObservabilityReview & Observability
High-risk automated thresholds yield to human approval gates. Complete OpenTelemetry tracking, Slack alerts, and manual recovery switches.Human approval, logging, retry paths, exception handling, error visibility
Use AI Where Rules Alone Aren't Enough
Deterministic code handles the predictable logic. AI steps in exclusively when the payload is messy, unformatted, or ambiguous.Traditional automation works well when every decision can be expressed as a rule. AI becomes useful when the workflow needs to interpret language, documents, context, user intent, or other unstructured information.
Unstructured to JSONStructured Extraction
Extracting clean data structures out of messy PDF invoices, customer emails, contracts, or audio transcripts.Turn emails, forms, documents, messages, or other unstructured inputs into usable structured data with strict schema validation.
Intent & Urgency ScoringClassification & Routing
Classifying incoming requests by nuance, sentiment, domain criticality, and priority routing rules.Identify intent, category, priority, or workflow path before passing work to the correct product process, system, or person.
Contextual SummarizationKnowledge-Aware Workflows
Drafting synthesized executive digests, CRM timeline logs, and cross-channel user profile updates.Use RAG and approved product or business knowledge when the workflow requires context beyond a single static prompt.
Evaluations & GuardrailsGenerative Tasks
Pre-flight output validation verifying that machine actions comply with corporate policy and brand guidelines.Draft responses, documents, summaries, recommendations, or internal content with clear boundaries and review points.
“AI handles ambiguity. Business rules protect the workflow. Humans remain responsible for important decisions.”
Agents, When They Actually HelpNot Every Workflow Needs an Agent
Autonomous agents are often overrated and fragile. We help you choose the right architectural pattern for each problem.Agents are useful when a task genuinely requires multiple decisions, tools, or changing steps. Simpler deterministic workflows are often easier to maintain and more reliable.
Use Structured Automation When:
- The steps, triggers, and outcomes follow predictable business logic.The sequence of operations is predictable from the start.
- Zero tolerance for non-deterministic behavior or hallucinations.Fixed business logic and strict rules govern every branch.
- Low latency and strict cost budgets are primary system constraints.Deterministic sequence and 100% repeatability matter most.
- Auditing requires 100% reproducible step-by-step traces.Reliability and auditability take priority over autonomy.
Use An Agent When:Use an Agent When:
- The workflow path cannot be planned until dynamic real-time data is retrieved.The execution path dynamically depends on changing run-time context.
- Multiple research tools, dynamic queries, and open web scraping are mandatory.Several tools must be selected and composed dynamically.
- Output is advisory, creative, or explicitly gated behind human review.Unstructured information determines what tool or action comes next.
- The environment offers self-correcting feedback loops (e.g., code compilation).Multiple intermediate reasoning steps are required prior to output.
Technical Note:TECHNICAL NOTE: When building agentic modules, we employ Model Context Protocol (MCP) standards and hardened API clients to minimize context leakage.Agents can interact with approved product tools through APIs or MCP-compatible interfaces when that architecture genuinely simplifies tool access.
Automate Repetition. Keep Judgment Visible.
Automate the 90% repetitive heavy lifting, but pause execution and notify an operator whenever money, trust, or compliance are at stake.High-value workflows often work best when automation prepares the decision and a person controls the important action.
Typical Checkpoint TriggersTypical Approval Points We Implement:
Engineered For Zero BreakageWhat Happens When Something Goes Wrong?
How we protect mission-critical workflows from network drops, upstream schema deprecation, and transient outages.The happy path is only part of the workflow. Production automation also needs to handle missing data, duplicate events, API failures, rate limits, unexpected responses, and retries.
Strict ValidationPre-Flight Validation
Zod & JSON schema verification on entry.Check inputs and enforce strict type constraints before the workflow continues down the pipeline.
IdempotencyDeduplication Keys
UUID duplicate keys prevent double billing.Avoid duplicate actions, double charges, or spam sends when product events or webhooks are retried.
Smart RetriesExponential Backoff
Exponential backoff with jitter on API failure.Handle temporary API rate limits, network timeouts, and downstream drops safely with automated retry queues.
Circuit FallbacksGraceful Degradation
Graceful default paths when third parties fail.Provide alternate operational paths and secondary fallback models when AI or an external service fails.
Unified LoggingExecution Traces
Structured traces linked to individual user IDs.Make important workflow state shifts, payload dumps, and micro-failures visible via real-time monitoring.
Human EscalationDead-Letter Alerting
Automated Slack alerting for unhandled state.Route fatal exceptions directly to the right engineer or operator instead of failing silently in the background.
How We Build & DeployFrom Workflow Idea to Reliable Automation
From initial friction audit to production-hardened automation in weeks, not quarters.
Map
Understand the product workflow, manual steps, systems involved, edge cases, and business outcome.
Simplify
Remove unnecessary intermediate steps, redundant rules, and bloated dependencies before automating.
Architect
Decide what belongs in the product, automation platform, custom backend logic, AI layer, or human review.
Build & Test
Implement integrations, custom logic, AI pipelines, APIs, validation routines, and edge-case handling.
Operate
Deploy, document, monitor, and make the workflow transparent for the team that will maintain it.
Selected WorkAutomation Connected to Real Products and Operations
Real-world automation backbones built for modern venture-backed startups and high-volume operators.
Turning an AI analysis engine into a published Chrome extensionArticle Analysis
Turning an AI analysis engine into a published Chrome extension
What began as an internal workbench for validating prompts, analysis logic, and structured LLM outputs was productized into a Chrome extension backed by a dedicated analysis service.What began as an internal workbench for validating prompts, analysis logic, and structured LLM outputs was productized into a Chrome extension backed by a dedicated analysis service.
Real-Time POS Vending & Inventory SyncNayax → Shopify
Middleware connecting vending operations with Shopify inventory
Built a fault-tolerant bridge processing over 85,000 daily unattended payment transactions across unattended hardware terminals into Shopify Plus with automatic tax calculation and warehouse fulfillment routing.A middleware system connecting Nayax-linked machine operations with Shopify inventory workflows, designed to support expansion across a larger machine network.
Automated Deal Pipeline & Data Room IngestionExit System
Payment-triggered customer communication workflows
Constructed a secure virtual data room analysis engine that parses founder pitch decks, cap tables, and profit-and-loss statements, populating deal scoring cards inside HubSpot and triggering analyst diligence reviews.A backend workflow combining Stripe events, Twilio SMS and voice capabilities, serverless infrastructure, and PostgreSQL to support automated onboarding and customer communication flows.
Why DevStitchAutomation That Can Grow With the Product
We bridge the gap between fragile automation builders and rigid software development teams.Many workflows eventually need custom APIs, application logic, databases, internal tools, or customer-facing software. Our product engineering background means the automation does not have to stop where the workflow platform does.
Product + Workflow ThinkingProduct + Workflow Thinking
We don't just tie webhooks together; we examine your user journey and business model to ensure the automation amplifies retention and efficiency.We design automations as extensions of your core product lifecycle, preserving data consistency and high UX standards.
Workflow + Software EngineeringWorkflow + Software Engineering
We treat workflow code like product code: unit tests, version control, automated CI/CD staging runs, and zero black-box magic.We bridge no-code agility with standard Git versioning, environment management, and production-grade CI/CD pipelines.
AI With Explicit BoundariesAI With Boundaries
We treat non-deterministic LLMs as untrusted third-party services. Schema validation wraps every prompt to guarantee reliable downstream execution.Rigid guardrails, deterministic data schemas, and human checkpoints keep generative unpredictability contained.
API-First OwnershipAPI-First Ownership
No platform lock-in. You receive clean repositories, documented environment manifests, and full intellectual property ownership from day one.No locked proprietary connectors. You retain complete ownership of logic, database schemas, and external API integrations.
Also Built For Operating CompaniesThe Same Engineering Approach Works Across the Business
Not building a tech SaaS? We also construct mission-critical operations pipelines for e-commerce brands, agencies, and professional services.The same architecture can also automate operational workflows outside the product — connecting CRM systems, internal tools, e-commerce operations, customer communication, reporting, and team processes.
Invoice & Expense Parsing
Auto-matching supplier receipts with Xero, QuickBooks, and warehouse delivery receipts.
Multi-Channel Customer Synthesis
Consolidating phone transcripts, WhatsApp inquiries, and portal tickets into unified CRM timelines.
Real-Time Inventory Balancing
Two-way sync across Amazon, TikTok Shop, Shopify Plus, and local 3PL fulfillment databases.
Turn Manual Operations Into Engineered PipelinesWhat Should Happen Automatically Around Your Product?
Stop letting your core team waste hours on repetitive syncs, data entry, and manual triage. Let's design a reliable automation architecture tailored to your stack.Show us the product, workflow, systems involved, and the repetitive work happening today. We can help identify what should be automated, where AI adds value, and whether the right solution is no-code, custom engineering, or a combination of both.