Why a WorkFusion pilot does not scale to all processes
A WorkFusion implementation pilot usually looks convincing: one scenario — processing an incoming flow of requests or reconciling registers — runs automatically, the share of manual operations drops, and the first metrics appear.
It seems that the remaining processes can be connected by copying. In practice, the second and third scenarios hit what was simply absent from the pilot: heterogeneous sources, different formats, and people who finish work behind the machine.
A process bottleneck is almost never where it was sought at the start.
In the pilot scenario, data came from one system and in one form, while in the neighboring department the same operation is assembled from email, spreadsheets, scans, and an accounting/ERP system with diverging reference data.
Until this is consolidated into a single environment, automation covers only the smooth case, and the rest goes back to the operator.
Manual exceptions are the main brake on scaling. A non-standard email, an empty field, a discrepancy in item master data — these become a task for a human, and the queue of such tasks grows faster than the volume automatically processed.
If exceptions are not analyzed and turned into rules, the share of automatic passes falls with the first change in input data.
And the pilot often remains without support: the scenario is delivered, and then forms, reference data, suppliers, and approval rules change. Without quality monitoring, failure analysis, and regular retuning, the solution quietly degrades — and gets switched off. We break down how this is addressed: from a unified data environment to support.
What changes after launch: measurable effects of automation
Processing throughput stops being constrained by the number of people in the unit.
After launching WorkFusion, the flow of requests and documents goes through triage, field extraction, and rule-based validation without being queued for manual entry — the extra step simply disappears from the route.
The bottleneck shifts to where the model's decision is ambiguous: the human remains an arbiter, not an executor.
The share of operations without human involvement is set not "by eye" but by a confidence threshold and a combination of rules with the model.
Everything above the threshold that passes formal checks — amounts, reference data, deadlines — is closed automatically; below the threshold, the card goes to the operator together with highlighted discrepancies.
The threshold is configured by operation type, so intelligent process automation does not turn into a lottery: predictability matters more than the maximum percentage.
Exception response time is measured from the appearance of the event to the decision, not from the start of the shift. Previously, a disputed document lay until morning in a common pile; now it is immediately raised as a separate task with full context, and review takes minutes.
At the same time, an entire class of failures disappears — manual entry errors: typos in fields, transposed digits, duplicates, wrong reference data. Reconciliation against master data makes such an error not rare but impossible by design.
We track the effect with four counters: processing volume for the period, share of routes without a human, median time to exception resolution, and share of returns for re-review. These same metrics show where the next ceiling was hit — and what to retrain next.
Operating modes: WorkFusion implementation options and their limitations
WorkFusion allows several deployment schemes, and the choice is dictated by data requirements: where the data physically resides, who has the right to process it, and what control is needed at each step. Below are three options that are actually chosen between at the start.
| Option | When it fits | Limitations |
|---|---|---|
| On-premises | Data does not leave the perimeter, strict security requirements | Updates and scaling are on the customer's side |
| Vendor cloud | Fast start, elastic load, little sensitive data | Part of processing goes outside, dependency on the communication channel |
| Hybrid scheme | Document processing in the cloud, personal data inside | An exchange gateway and approval of access roles are needed |
Deployment and the method of connecting to sources are chosen as a pair. File-based exchange of exports launches fastest, but the delay between a document appearing and being processed is measured in hours.
Direct connection to accounting/ERP systems through queues gives a reaction at the moment the document appears, but requires documented access rights and a separate test environment.
Support is part of the same scheme. On-premises, updates and monitoring fall to us together with your team; in the hybrid option, part of the responsibility remains with the vendor and this must be included in the regulations.
Honestly about the solution's boundaries: documents without a stable template still go through a manual stage, and changing fields in the accounting/ERP system requires model synchronization.
We spell out these limitations before the start — so that after launch part of the process does not end up outside the perimeter.
Stages of engineering work: from process audit to handover
Every project starts with a process audit: we walk through the steps as they are, record operation volumes, data sources, exceptions, and the share of non-standard requests.
Without this, the automation scheme simply transfers manual chaos into WorkFusion — together with unnecessary approvals and workarounds that should have been removed long ago. The output of the stage is a process map with automation boundaries and a list of source systems.
- Process and data audit — interviews with performers, volume measurements, assessment of input document quality, exchange formats with accounting/ERP systems.
- Scheme design — which steps the robot takes on, where human confirmation remains, what the failure points are and how rollback is performed.
- Scenario configuration — document parsing rules, reference data, exception routing, behavior on incomplete data.
- Validation on a real flow — parallel run on accumulated requests alongside manual processing and reconciliation of results.
- Solution acceptance — accuracy measurements on a control sample, review of each discrepancy, agreement of criteria with the customer.
- Handover and team training — scenario documentation, support regulations, access rights, and rules for in-house rule refinement.
Stages are iterative: validation on a real flow almost always refines the scheme, and we change rules before acceptance, not after launch. This order gives a predictable scope of work and a clear moment when the solution can be accepted and put into operation.
What remains with the customer: configurations, schemes, regulations
Solution handover is not an archive with files but a working installation in which the customer can change rules, add document types, and handle incidents without contacting us.
Therefore, the set of artifacts describes not "what was done" but "how it is structured and what to do with it next." Below is what exactly is recorded in the documentation and handed over as part of the WorkFusion implementation results.
- Scenario configurations — exported processing settings: launch triggers, rules for routing tasks between the operator and automation, confidence thresholds for field extraction, exception handlers.
- Integration schemes — a map of connections with accounting/ERP systems, document repositories, and email gateways: exchange direction, formats, polling frequency, behavior when an external system is unavailable.
- Access policies and roles — a matrix of rights by operation (view, edit rule, publish version), service accounts, procedure for granting and revoking access when an employee changes.
- Register of rules and models — which document types are recognized, on which datasets they were tested, where reference examples are stored for re-running after edits.
- Instructions for operators — review of typical discrepancies, what to do with low recognition confidence, how to correctly reject a task so that it goes into retraining and is not lost.
- Support regulations — procedures for updating rules, procedure for rolling back to a previous configuration, monitoring of queues and the share of manual rework, escalation points.
- Change log — versioning of configurations indicating the author and reason for the edit, so that in six months it is clear why the rule looks the way it does.
Such a package allows the customer's team to perform acceptance by formal criteria and then develop the solution in-house.
Case study: how manual request processing was removed and losses were reduced
The project is a service company where a request to connect or change a service passed through a chain of manual environments: intake, reconciliation with the contract, limit checks, document preparation, approval. The flow was steady, but every step depended on a human, and during peaks the queue grew.
What it was like before automation
One request involved eleven manual operations distributed among four groups. Average turnaround time was about three business days, while 28% of requests were returned for rework: an attachment was missing, fields diverged, or the tariff did not match. A return meant another round of approvals, and the client saw not a refusal but silence.
What was changed
On WorkFusion, the entire process was mapped: data extraction from attachments and emails, reconciliation with contract terms, limit checks, and assembly of the document package.
Validation rules were moved to a separate layer — they are edited by a business analyst, without retraining the model. Only what failed validation or was marked as non-standard goes to the operator.
What it became
Nine of eleven operations left the manual environment. Request turnaround time dropped to several hours, and the share of returns for rework fell from 28% to 4%: incomplete data is filtered out at intake, not at approval.
Seven out of ten requests pass without manual touch; the rest return to the operator with ready context and an analysis of exactly what did not match.
How WorkFusion differs from classic robotic process automation
Classic robotic process automation works by scenario: the robot repeats the operator's actions in interfaces — opens a form, copies fields, transfers them to the accounting/ERP system.
As long as input data arrives in a stable template, such a robot performs thousands of operations without failure. The limit is reached where unstructured input appears: scans, emails, free-form contracts.
WorkFusion adds two layers to the scenario. The first is data extraction from unstructured documents: the model finds fields, parties, amounts, and dates in the text and returns them in structured form.
The second is rule-based decision-making: the system classifies the request, checks conditions, and chooses the route itself — process automatically, request clarification, or pass to the operator.
| Criterion | Classic robotic process automation | WorkFusion |
|---|---|---|
| Input data | structured, fixed template | scans, emails, free form |
| Exception response | stop and wait for operator | classification and route selection |
| Decision-making | hard-coded in the scenario | rule-based, with condition checks |
| Change in document form | rework of the scenario | retraining on new examples |
We choose boundaries honestly: if the input form is stable and there are few exceptions, a scenario-based robot is easier to support.
The combination is needed where the share of non-standard documents is high and the process constantly stalls on manual review — then the share of operations completed without an operator grows, and the processing time for a package drops from hours to minutes.
Technical concerns: integrations, exceptions, support
We resolve connection to the accounting/ERP system before work starts: we do not rewrite the system or build exchange through file exports, but configure communication via standard interfaces.
We close disputed points with a reconciliation regulation; if the required method is absent, that is a separate task, not an ad-hoc solution.
Exceptions are a standard mode, not a failure. The robot handles the standard flow and puts non-standard cases into a queue with context: document, step, mismatched field.
The operator reviews it in the interface, actions are logged, the rule is refined — and the share of exceptions falls from iteration to iteration.
How is access to the accounting/ERP system segregated?
The robot receives a service account with the minimum required rights — only reference data and scenario operations; the operator's rights in the queue are also limited by role. All calls to the system are logged with a link to the process step.
What if the robot makes an error on production data?
The scenario is run on a copy of the database, and at launch it operates in markup mode: the robot shows what it would do, but does not post documents.
There are checkpoints and a rollback point, disputed operations are confirmed by the operator, and versions are stored separately.
Who is responsible for operation after launch?
After launch, we run the operation: we monitor the exception queue, respond to changes in the accounting/ERP system, and update rules when regulations change.
Knowledge transfer proceeds in parallel — regulations and instructions are documented so that support can be taken in-house.
Let's discuss the task: what is needed for an assessment and implementation plan
To assess a WorkFusion IPA implementation, no prepared technical document is needed — a set of inputs gathered in one or two conversations on your side is enough.
Based on them, we come back with a work plan, an integration scheme, and the first scenario that delivers a measurable result earlier than the rest.
What we need from you:
- a description of the process as it runs now: steps, performers, repetition frequency, operation volume per month;
- which systems are involved — accounting/ERP, document repository, corporate portal, email, registers;
- in what form input data arrives: scans, PDFs, spreadsheets, emails, exports from external services;
- what is considered the result of a step: a record in the system, a document, an email, a status mark;
- rules and exceptions: who approves what to do with an incomplete or contradictory data set;
- access for scenario validation — a test environment or a copy of the database with limited rights;
- who on the customer's side accepts the result and by which metrics we record the initial state.
Then the order is as follows: review of inputs and boundaries of the first scenario, implementation assessment by labor costs and risks, work plan with checkpoints, scenario assembly on real data, validation on historical examples, handover of documentation to your team. The assessment relies on your volume figures, not on market averages.
Describe the task — we will come back with an assessment and plan. If some inputs are missing, we will reconstruct them during a process review together with your specialists: usually it is enough to show how the task flows today and name the bottleneck.
