Solutions
Every industry has work that never should have been a person's job.
A catalog that gets re-keyed. A submittal that gets checked by eye. An RFQ that sits in an inbox for five days. Keelo finds that work, builds the agent for it, and runs it where the work already happens.
[01]By industry
Seven industries. The same work underneath.
These are not seven different products. They are seven places the same work keeps showing up: a document arrives, someone reads it, someone checks it against a system, someone decides. The factory builds for the shape underneath — which is why a workflow solved in one of these industries lowers the cost of its counterpart in the next.
[01]Catalogs & allocation
Retail & consumer goods
Supplier catalogs, price files, purchase orders, chargebacks and store allocation — arriving by email, moving through spreadsheets, landing in the PIM and the ERP.
[02]Bids, submittals & branch ops
Construction & building materials
Bid packages, submittals, takeoffs, change orders and branch quotes — arriving as PDF plan sets and email threads, priced off spreadsheets, executed in the ERP.
[03]Quoting & coverage
Industrial distribution & MRO
Inbound RFQs, part identification, cross-references, stock checks and vendor cost updates — arriving as free text and attachments, answered out of the parts catalog and the ERP.
[04]Specs & aftermarket
Manufacturing & OEM
Engineering specs, supplier quality documents, change requests, warranty claims and service parts — moving between PLM, the ERP, field service tools and a lot of email.
[05]Dispatch & exceptions
Logistics & transportation
Freight invoices, rate tables, customs paperwork and dispatch exceptions — spread across carrier portals, PDF, the TMS and the ERP, and reconciled by hand at month end.
[06]Claims & review
Insurance & financial services
Claims packets, denials, KYC files, payment exceptions and reconciliation breaks — arriving as PDF and email, resolved against core systems and the case management tool.
[07]Authorization & coding
Healthcare & life sciences
Prior authorization packets, clinical and regulatory documents, coding review and payer correspondence — still arriving by fax and portal, still keyed into the EHR by hand.
If your industry is not on this list, the question is not whether Keelo covers it. It is whether your work has the five properties below.
[02]Does this apply
Five things that make work worth handing to an agent.
Discovery scores against these. If your workflow has four of the five, it is almost certainly on the build queue.
[01]
It repeats
The same shape of work runs weekly or daily, at volume, with the same decision points each time.
[02]
It is document-shaped
The input arrives as a PDF, a spreadsheet, an email attachment, or an image, and someone re-keys it.
[03]
The rules exist but are unwritten
There is a right answer. It lives in two or three people's heads and nowhere else.
[04]
Errors are expensive and late
A mistake is not caught at the desk. It is caught downstream, after money has moved.
[05]
It is judgment-light at the line level
Individual decisions are consistent. The hard part is volume and vigilance, not wisdom.
If the work is genuinely judgment-heavy at the line level, Keelo will say so and will not build it. That is a design decision, not a limitation.
[03]By workflow shape
Every workflow above is one of six shapes underneath.
This is why the second agent costs less than the first. A claims packet and a supplier catalog are different jobs to the people doing them and the same shape to the factory — so the ingestion, the normalization, and the eval machinery carry straight across.
[01]Document intake and coding
Turning the documents suppliers, partners, and counterparties send you into structured records your systems can act on.
What it replaces
A person opening one file at a time and re-keying it into the ERP, PIM, or spreadsheet of record. The work is slow, it happens against a deadline, and the error rate rises exactly when volume does.
What the agent does
Ingests the file in whatever form it arrived — clean PDF, scanned page, spreadsheet with merged cells, photograph of a spec sheet. Runs object detection, OCR, and layout parsing to recover structure. Normalizes units, formats, and naming into house schema. Maps every field to the destination record. Grades its own output against the eval gate and attaches per-field confidence with a pointer back to the source region it came from.
Where a person signs off
A batch review surface in the tool the team already uses. Low-confidence fields are flagged and sorted to the top. The reviewer corrects and approves, and nothing writes to the system of record until they do. Every correction becomes labeled signal for the next run.
Representative85–95% reduction in manual keying time per document set · several days of skilled labor recovered per intake cycle · median cost per document run under $2.
[02]Specification and order conformance
Checking that a specification, order, or build sheet conforms to the approved standard before money is committed.
What it replaces
A line-by-line manual cross-check between a submitted document and the master record, usually performed under deadline pressure by the one person who knows what to look for. Discrepancies that slip through are discovered after production has started, when they are expensive.
What the agent does
Parses both the submission and the authoritative record. Reconciles them line by line, including fields that are named differently on each side. Classifies every discrepancy by severity and by what it costs if it goes uncaught. Cites the exact location in both documents for every flag, and stays silent on differences that are within tolerance.
Where a person signs off
The reviewer sees only the flagged discrepancies, ranked by severity, with both sources side by side. They accept, reject, or override each one. Release to production is gated on that sign-off.
Representative40–60% reduction in downstream revision cycles · discrepancies surfaced before commitment rather than after · review time per submission reduced from hours to minutes.
[03]Landed cost and rate refresh
Replacing the stale historical average with current, routed rates in every cost calculation downstream of it.
What it replaces
A spreadsheet of last period's averages that quietly underpins every margin model in the business. Nobody owns it, everybody uses it, and it is wrong in a direction nobody has measured.
What the agent does
Pulls current rates across lanes, carriers, and modes. Normalizes units, surcharges, and accessorials into one comparable basis. Routes each shipment or item to the applicable rate rather than an average. Writes back a per-unit cost with full provenance, and flags any variance beyond a defined threshold for review.
Where a person signs off
A person approves publication of each rate table before it becomes authoritative, and reviews the variance exceptions the agent raises. Downstream systems consume only approved tables.
RepresentativeEvery unit priced at its routed rate rather than a period average · variance caught at publication rather than at reconciliation · every downstream margin model rebuilt on a current number.
[04]Tariff and regulatory classification
Assigning the correct regulatory or tariff code to every item, at catalog scale, before production locks.
What it replaces
A small number of specialists classifying by hand at a rate the catalog long ago outran — or a default code applied broadly and reconciled later, which is the more expensive of the two mistakes.
What the agent does
Reads composition, specification, and description for each item. Proposes a classification with written rationale and a citation to the governing rule. Ranks legitimate alternatives where the rule permits more than one reading. Flags items where a small composition change would move the item into a different bracket, while there is still time to act on it.
Where a person signs off
Every classification is reviewed and approved by a qualified person before filing. This workflow is deliberately kept at full human approval regardless of the agent's confidence, because the liability sits with the filer and not with the tool.
RepresentativeThousands of items classified per run · 70–90% reduction in review time per item · bracket-change opportunities surfaced before production locks rather than after.
[05]Allocation & replenishment validation
Validating high-volume allocation or replenishment submissions against real constraints before they reach execution.
What it replaces
Scanning a large recurring file by eye, or not scanning it at all and discovering the error after the warehouse, the plant, or the store has already acted on it.
What the agent does
Validates every line against inventory position, capacity, calendar, and contract constraints. Detects conflicts, duplicates, and overlapping allocations across the whole submission rather than line by line. Returns a pass or fail with the exact offending lines and the specific constraint each one violates.
Where a person signs off
The submitter receives the failures, corrects them, and resubmits. An approver releases the validated file to execution. The agent never releases on its own.
RepresentativeValidation in seconds rather than hours · batch-level errors caught before execution instead of after · a single caught submission can prevent thousands of units of misallocation.
[06]Transaction risk triage
Scoring inbound transactions for risk in real time, and routing only the genuinely ambiguous ones to a person.
What it replaces
A static rule set that has to be rewritten every time a pattern shifts, sitting in front of a manual review queue that grows in a straight line with volume.
What the agent does
Applies deterministic rules first, because most decisions are not close. Reasons over the residual band that the rules cannot resolve. Returns a score with a written explanation of what drove it. Adapts to new patterns from reviewer decisions rather than waiting for someone to author a new rule.
Where a person signs off
Reviewers see only the ambiguous band, with the reasoning attached. Clear-pass and clear-fail decisions are automated within thresholds you set and can tighten at any time. Every reviewer decision returns to the agent as training signal.
Representative60–75% reduction in manual review volume at equal or better catch rate · new patterns surface without a rule rewrite · review capacity stops scaling with transaction volume.
About these figures. The ranges above are representative of results Keelo observes across production deployments of each workflow archetype. They are drawn from operational measurements of deployed systems, normalized and abstracted. No figure represents a single customer, no customer is identified, and no figure is a projection or a guarantee of results. What a specific workflow returns depends on its volume, its current error rate, and the cost of the errors it is currently absorbing. Keelo will estimate that range for a named workflow during discovery, and will say so when it is small.
[04]Scope
What Keelo will not build.
The scoring function cuts both ways. These are the requests Keelo turns down, and why.
A general-purpose assistant
An agent with no defined workflow has no eval set, no success condition, and no way to know it has failed. Keelo builds agents that do one job well enough to be measured.
Judgment-heavy decisions
Where the right answer genuinely depends on context a model cannot see, Keelo builds the agent that prepares the decision and leaves the decision to the person.
A pilot with no path to production
A demo that cannot deploy into a real system, against real data, with a real approver, is a slide. Keelo does not build slides.
Anything that writes unsupervised
Requests to remove the human approval step are declined. It is the control that makes everything else defensible.
[05]How it starts
One workflow first. Then the fleet.
[01]
Point it at one workflow
Discovery runs against a scoped set of real work inside your environment and comes back with the workflows it found, ranked by how automatable they are and what they cost you today. You see the build queue before you commit to building anything on it.
[02]
The first agent goes live
The top-ranked workflow gets designed, built, and shipped into the system your team already uses, with the approval surface designed for the people who will actually use it. It passes its eval gate before it goes live, not after.
[03]
The fleet takes over
Keelo watches every run, catches the failures, writes the fixes, and opens the pull requests. The next workflow off the queue starts with everything the first one built.
Get started
Bring the workflow that matters too much to leave as a prompt experiment.
The first conversation is about which workflow is worth encoding, what has to stay human, what has to be governed, and what system needs to exist around the model. It is a technical conversation with the person who will build the thing.
Keelo takes on a small number of deployments. The work has to matter — to the business, to the people doing it, and to Keelo.
Direct: Edward@keelo.ai