Back-office agents that run on rails, not vibes.

The days of running operations by clicking around SaaS tools and spreadsheets are over. Pump Up turns messy workflows into governed AI agents with rules, approvals, audit trails, and human review built in.

What Pump Up does

AI for workflows that need rules, evidence, and review

Graph

Back-office processes aren't random

Back-office work is not open-ended exploration. It follows policies, thresholds, terms, rules, approval paths, and exception logic.

Tasks

Enable AI to run complex processes

Our AI processing engine combines AI agents with rules, validation, governance, and human approval flows.

Resolve edge-cases with human review

Route sensitive or ambiguous cases to humans with context, reasoning, recommendations, and audit trails attached.

Chart

how we work

We turn messy workflows into governed agents

Discovery

Develop

Optimize

Workflow start

Claim received

Classify claim type and severity

Check policy coverage and limits

Verify supporting documentation

Approve

Yes

Within auto-approve threshold?

No

Review

01 – MAP

Map the workflow

Most operational processes live across inboxes, spreadsheets, internal tools, tribal knowledge, and exception paths. We document how cases actually move from intake to resolution.

Discovery

Develop

Optimize

Workflow start

Claim received

Classify claim type and severity

Check policy coverage and limits

Verify supporting documentation

Approve

Yes

Within auto-approve threshold?

No

Review

01 – MAP

Map the workflow

Most operational processes live across inboxes, spreadsheets, internal tools, tribal knowledge, and exception paths. We document how cases actually move from intake to resolution.

Discovery

Develop

Optimize

Workflow start

Claim received

Classify claim type and severity

Check policy coverage and limits

Verify supporting documentation

Approve

Yes

Within auto-approve threshold?

No

Review

01 – MAP

Map the workflow

Most operational processes live across inboxes, spreadsheets, internal tools, tribal knowledge, and exception paths. We document how cases actually move from intake to resolution.

The cost of manual operations

How much is your manual workflow costing you?

How many hours per week each team member spends on manual tasks (estimated).

$

You're losing ~520 hours/month to repetitive tasks. That's $20,784/month in time costs.

Pump Up could reclaim 80% of that — saving ~$16,627/month.

How many hours per week each team member spends on manual tasks (estimated).

$

You're losing ~520 hours/month to repetitive tasks. That's $20,784/month in time costs.

Pump Up could reclaim 80% of that — saving ~$16,627/month.

Insurance Claims

Billing Reconciliation

Contract Operations

Account Operations

Commissions

Freight Claims

Returns & Disputes

AP Exceptions

Where Pump Up helps

Processes with fuzzy logic, rules, and exceptions

Claims and case processing

Automate high-volume case workflows that require intake review, document checks, policy logic, customer follow-up, approvals, and exception routing.

GTM and sales operations

Finance and billing operations

Why Pump Up

We automate workflows where outcomes matter.

Controlled execution

Agents follow your workflow: check inputs, apply rules, update systems, and route exceptions instead of improvising.

Log every action

Capture the context, decision path, reviewer, timestamp, system update, and reason so every workflow leaves an audit trail.

Route exceptions to humans

Send sensitive, ambiguous, or high-value cases to the right reviewer with context, reasoning, and a recommended next step.

Solutions and Results

Our experts partner with leaders to discover, automate, and operate agentic workflows.

Connect across systems

Work across your platforms: CRM, support desk, ERP, databases, internal APIs.

Add human capacity

Trained consultants to handle human in the loop workflows and validation.

Compare

Your ops workflow is not a chatbot

Claims, disputes, billing, approvals, reconciliations, and account operations need structured execution — not an open-ended agent that guesses its way through a process.

Generic agent platforms

Built for open-ended tasks

Depend on prompts instead of process logic

Up to 1000x slower

No human-in-the-loop operations

Leave edge cases, approvals, and QA to your team

Built for repeatable operational workflows

Converts policies, thresholds, and approvals into process logic

Executes the next step across your systems

Embeds export operators to build, run, and improve agents

Provides optional human-in-the-loop staffing

FAQ

Frequently asked questions

What kinds of workflows are a fit for Pump Up?

Pump Up is built for recurring operational workflows with volume, rules, system updates, approvals, and exceptions. Good fits include claims processing, sales ops requests, billing workflows, reconciliation, contract setup, account operations, and internal review queues.

How is this different from a generic agent platform?

Do we need to build the workflow ourselves?

What happens when the agent is not confident?

Can Pump Up work with our existing systems?

How do you keep agents from making the wrong decision?

Can Pump Up operate the workflow after launch?

How is pricing structured?

How long does implementation take?

What should we bring to the first call?