Workflow Automation

We map how the work runs today, then automate it with AI, rules and integrations your team can run.

Request a project review

Describe the goal, current systems and constraints. We will review the scope and identify the next evaluation step.

WE MULTIPLY WHAT'S IMPORTANT

Your Metrics

Your Capacity

Your Revenue

Your Time

Your Performance

Any Model

On Your Schedule

Your Hardware or Ours

You Own the Code

Built to Be Measured

How results are measured

Business case

Value definition

Expected value, implementation cost, and the measurement method are agreed before development begins.

Delivery plan

Delivery approach

Milestones are set around data readiness, integrations, security review, and the production environment.

Operating baseline

Current cost, cycle time, quality, capacity, or risk is established before improvement is measured.

Verified outcome

Results are reported against approved source data, a defined system boundary, and an agreed measurement period.

ALLTIPLY builds workflow automation for operations, finance, service and sales teams. We start by mapping how the work actually runs today: every step, handoff, system, exception and delay. Then we automate the steps that should be automated, with AI where judgment is needed and rules where it is not.

Automations run inside your existing systems, with approval steps, exception queues and logs your team can review. For an example of the work built, see the operations-platform observations in the production-gap field report. The platform is built, with live data connections planned; no production outcome is reported for it.

Challenges That Hold You Back

Work moves between spreadsheets, inboxes and boards by hand, so status is unclear and every handoff is a chance to drop something.

The documented process and the real process have drifted apart, so automation built from the documents breaks on day one.

Exceptions are handled from memory, which keeps your most experienced people stuck doing routine work.

Measurable Outcomes That Drive Real Results

A current-state map you can trust

Every step, handoff, system and exception is documented from interviews and system data, so automation targets the real process, not the one on paper.

Routine steps run on their own

Intake, classification, data entry, routing, notifications and reporting run automatically, with AI handling unstructured inputs like emails and documents.

People own the exceptions

Anything outside the rules lands in a queue with context attached, and approvals stay with the people accountable for the decision.

Read the implementation evidence

These firsthand reports distinguish production use from proof environments and prototypes.

Production voice platform: operating choices and handoff. A field report from a platform operating in production.
Enterprise retrieval: intent-aware proof. A proof environment; production outcomes are not claimed.
Conversation intelligence: aggregation architecture. A prototype demonstrated with synthetic data.

Explore our work and evidence status or read the research library directly.

Start with a workflow map

Describe the goal, current systems and constraints. We will review the scope and identify the next evaluation step.

Request a project review

Steps to Getting Started

Mapping comes first. Automation is built against what the map and the baseline show.

Map the current workflow

Baseline set

We interview the people doing the work, trace it through your systems, and document steps, handoffs, exceptions and cycle times as the baseline.

Design the automation

Design approved

We pick the steps to automate, decide where AI or rules fit, and agree approval gates, exception handling and success measures.

Build and integrate

Working system

We build the automations inside your existing systems, test them on real cases and run them alongside the manual process before cutover.

Run and expand

In production

Automations run with logs, exception queues and reporting against the baseline, and we extend to the next workflow once the first one holds.

Workflow automation FAQ

Tell us about your project. Share the goal, current systems and constraints so we can review the scope and identify the next evaluation step.

Request a project review

Why start with process mapping?

Automation often fails because it copies a process nobody actually follows. Mapping the current workflow first shows the real steps, exceptions and delays, and sets the baseline we measure the automation against.

Which workflows should we automate first?

High-volume work with clear inputs, repeated handoffs and a measurable outcome: intake, triage, data entry between systems, approvals and recurring reports. We score candidates on volume, risk and effort.

Where does AI come in versus simple rules?

Rules handle structured, predictable steps. AI handles unstructured inputs and judgment: reading emails and documents, classifying requests, extracting fields and drafting responses for review.

Do we have to replace our current tools?

No. We automate across the CRM, ERP, ticketing, email and file systems you already use. If a tool is the bottleneck, we say so and show the tradeoff before any change.

How do we keep control of automated steps?

Each automation has defined permissions, approval gates for consequential actions, an exception queue and a full log. Your team can pause, review or change any step.