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CombineApps · Custom AI agents for real business work

Custom AI Agents That Automate Your Business Workflows

We build AI agents, automations, and integrations that connect your tools, handle repetitive tasks, and ask for approval when humans should decide.

Human approval available where the workflow needs it

Business Agent · workspace

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The Problem

Your team is buried in busywork

Your best people are doing your worst tasks.

!

Repeated work

Lost to manual, repetitive work

Copying data between tools, formatting the same reports, re-typing the same updates. Every. Single. Week.

Fragmented context

Of company knowledge lives in people's heads

When someone leaves, their know-how walks out the door. New hires take months to get up to speed.

Slow routing

Average response time to inbound

Hot leads and urgent tickets go cold while someone manually checks, researches, and decides what to do.

What if you had AI employees handling all of this?

What we build

AI built for how your business actually works.

Practical systems designed around approved data, existing tools, and the controls each workflow needs.

AI Agents

Multi-step systems that use approved context and tools

Agents can classify requests, prepare answers, update systems, and pause for human approval when a decision should stay with a person.

Multi-stepApproved toolsHuman review

Useful for repeatable work that still needs context or judgment.

Explore AI Agents

AI Agents Orchestration

Let multiple agents coordinate and decide the best path

We design coordinated workflows where specialized agents research, draft, review, or route work within defined permissions and stop conditions.

Multi-agentRoutingReviewGuardrails

Useful when distinct steps need different tools or instructions.

Explore AI Agents Orchestration

Automations

Connect your tools and kill the manual handoffs

We wire your apps together so data flows on its own — no more copy-pasting between tabs, re-keying the same info, or chasing updates across systems.

IntegrationsNo copy-pasteReal-time

Useful for frequent, rules-based handoffs between systems.

Explore Automations

MCP & Connectors

Give MCP-compatible assistants controlled access to tools

We build MCP servers and connectors that expose approved functions and data with scoped permissions, validation, and failure handling.

MCP serversTool schemasPermissionsLogs

Useful when an assistant needs reusable access to live systems.

Explore MCP & Connectors

Infrastructure & DevOps

Deploy, observe, and operate AI systems responsibly

We plan deployment, logs, monitoring, scaling, failure handling, and cost controls around the needs of the production workflow.

DeploymentScalingToken-efficientMonitored

Production readiness is designed into each relevant build.

Explore Infrastructure & DevOps

Data & Reporting

Scheduled reporting built from approved business data

We connect approved data sources, calculate defined metrics, and produce scheduled summaries with traceable inputs and review points.

AnalyticsAuto-reportsScheduled

Useful for recurring reports assembled from multiple sources.

Explore Data & Reporting

Not sure which fits? We'll map it in a 30-minute call.

Book a demo

Process

From workflow audit to a production-ready system

Scope, milestones, and safeguards are set around the real workflow.

01

Discover the workflow

We map the current steps, owners, tools, data, exceptions, permissions, and the outcome worth improving.

Discover
02

Define and prove

We design the future workflow, choose approval points, and test representative cases before committing to a production build.

Validate
03

Build, launch, improve

We implement the agreed system, complete acceptance testing, document operations, and improve it from measured behavior.

Operate

Illustrative Demo

See how a business assistant could work

Example conversations only — the figures shown are fictional, not customer results.

Example AI Assistant
Online

Measurement

What we measure after launch

There is no universal AI success number. Each build gets a baseline, a representative test set, and metrics tied to the workflow it is meant to improve.

Time returned

Compare the workflow's baseline handling time and manual touches with the live system.

Output quality

Test representative cases against acceptance criteria agreed before the build begins.

Completion and escalation

Track what completes correctly, what needs a person, and where the workflow stops.

Reliability

Review errors, response time, unresolved cases, and the cost of each completed task.

Before launch

Define evidence before writing code

We map the current workflow, select a business KPI, build an evaluation set, and agree where human approval is required.

After launch

Improve from observed behavior

Logs and review samples show which cases work, which need escalation, and what should change in the next iteration.

Integrations

Connect the tools your teams already use

We build custom connections around a defined workflow, then add rules, agents, approvals, and measurement where they belong.

Browse all integrations

Each scope depends on the platform edition, supported APIs or events, authentication, permissions, vendor limits, and security requirements.

FAQ

Frequently asked questions

Everything you need to know about how we build, deploy, and support AI agents for your business.

Still have questions?

Book a 15-minute call and we'll answer everything specific to your business.

Book a demo

Rule-based tools are often the best choice for predictable if-this-then-that work. CombineApps can combine those deterministic steps with AI when a workflow needs context, classification, drafting, or flexible routing. We choose the simplest reliable design for the job.

Get started

Ready to put AI to work in your business?

Book a free 30-minute audit. We'll map one workflow, identify the best automation approach, and flag the dependencies that matter.

30 minutes. No pitch. Just a clear action plan.

Or email us: [email protected]