InApps Technology
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Agentic Workflow Automation

Your team is doing work that should not require a human. We build AI-driven pipelines that handle it continuously, adapt to exceptions, and run reliably at scale

Trusted by engineering teams across 15+ countries

From startups to Fortune 500 companies

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Clutch 4.9/5 · 50+ reviews
GoodFirms Top Company
ISO 27001 Certified

Common Pain Points

Why Manual Workflows
Drain Your Best People

Your team is too expensive to be doing work a computer could handle in seconds.

Repetitive tasks draining your team

Data trapped in manual loops We connect your systems and automate every handoff, so data moves in milliseconds, not working hours.

Fix

We connect your systems and automate every handoff, so data moves in milliseconds, not working hours.

Errors compound. Visibility disappears

We build automated pipelines with full audit trails so every step is logged, visible, and recoverable

Fix

We build automated pipelines with full audit trails, every step logged, visible, and recoverable.

Scaling means hiring, not building

We replace fragile, people-dependent processes with workflows that run 24/7, scale output without scaling your team.

Fix

We replace fragile, people-dependent processes with workflows that run 24/7, scale output without scaling headcount.

SERVICE OVERVIEW

What is Agentic Workflow Automation?

Agentic workflows use AI to orchestrate multi-step business processes from start to finish: triggering actions, making decisions, and adapting to outcomes without human intervention. Unlike simple RPA that breaks when a format changes, our agents reason over context, handle exceptions, and integrate with your existing tools. We map your current workflows, identify the highest-ROI automation opportunities, and build AI-powered pipelines that run continuously with full audit logging.

What is Agentic Workflow Automation?

TECHNICAL DEPTH

Our AI Capabilities

We build autonomous AI agents that plan, reason, and execute multi-step tasks across your business workflows without constant human hand-holding.

Tech Stack

LangChainCrewAIAutoGenLangGraph
Mini Case Study

Customer support agent handling 80% of inbound tickets automatically, response time cut from 4 hours to 30 seconds.

TECH

WHY CHOOSE US

Why Choose InApps

InApps team

Production-grade by default, not demos

We don't ship prototypes. Every agent includes guardrails, monitoring, rollback plans, and SLA agreements before it touches real users.

Guardrails and human oversight built in

Every workflow has defined escalation paths, approval checkpoints, and full audit logging, your team stays in control, not the other way around.

AI engineers, not generalists learning on your project

Our agentic-AI engineers have shipped production LangGraph and CrewAI systems before, they're not prototyping with your budget.

Deployed without ripping out your stack

Native integrations with the tools you already run: Slack, Salesforce, HubSpot, and more. No forced migration, no vendor lock-in.

4.9/5
Clutch Rating · 50+ Reviews
750+Projects delivered
10+Years in business
98%Client retention
15+Countries served

OUR PROCESS

How We Turn Ideas into Real Results

From first brief to shipped product. Transparent, iterative, and built around your goals.

PHASE 1

Discovery & Mapping

Workflow audit
Bottleneck identification
Automation feasibility
ROI estimation
Workflow audit report: current-state map, bottlenecks ranked by impact, and an ROI estimate for the top automation candidates.
PHASE 2

Design & Architecture

Pipeline design
Tool integration plan
Exception handling
Approval flows
Technical architecture document: pipeline design, integration plan, and exception/approval-flow specs, ready for build sign-off.
PHASE 3

Build & Integrate

Agent development
API integrations
Testing & QA
Staging deployment
Working agent in staging, integrated with your tools, passed QA, ready for go-live review.
PHASE 4

Go-live & Monitor→ Live

Production rollout
Performance tuning
User training
Ongoing support
Agent live in production, with a monitoring dashboard and an ongoing support plan.
Discovery & MappingDesign & ArchitectureBuild & IntegrateGo-live & MonitorClient

INTEGRATIONS

Plugs Into the Tools You Already Run

Our agents connect to your existing stack through native APIs and secure connectors, no rip-and-replace required.

Slack
Slack
Salesforce
Salesforce
HubSpot
HubSpot
Notion
Notion
Jira
Jira
Zendesk
Zendesk
Google Sheets
Google Sheets
PostgreSQL
PostgreSQL
Zapier
Zapier
Stripe
Stripe
GitHub
GitHub
WhatsApp
WhatsApp

TECH STACK

Models, Frameworks & Infrastructure

OpenAIOpenAI
ClaudeClaude
GeminiGemini
LangChainLangChain
PineconePinecone
AWSAWS
AzureAzure
Google CloudGoogle Cloud
LangGraphLangGraph
CrewAICrewAI
AutoGenAutoGen

COMMON QUESTIONS

Everything you need to know

Timeline

How long does it take to automate a workflow?

Simple workflows take 3–4 weeks. Complex multi-system pipelines with approvals and exceptions take 6–10 weeks.

Ready to put an AI agent to work?

Tell us the workflow you want to automate, and we will scope a production agent, guardrails included.

Agentic Workflow Development | AI-Powered Automation | InApps