Business Process Automation

Business Process Automation That Removes Work, Not Just Moves It

Business process automation that starts by mapping how the work actually runs, including the workarounds nobody documented. We automate the repeatable steps, escalate the rest with context attached, and measure the result against the baseline we recorded first.

Automate the Work Your Team Repeats

A look at what the numbers say about the team behind your automation.

01 Trusted by

Teams whose processes we automated

From venture backed startups to enterprise operations, these are the teams whose repetitive work we took off their desks.

02 Capabilities

Business Process Automation Services

Business process automation covers process discovery, document intake, workflow orchestration, decision automation, integration and monitoring. Together they decide whether an automation runs unattended or quietly needs a person watching it, which is the difference between removing work and relocating it.

What is an AI agent?
  1. Process Discovery and Mapping

    We map how the work actually runs rather than how the process document says it does, including the spreadsheets and the email threads. That map is what tells you which steps are worth automating and which ones should simply be removed.

    What is an AI agent?
  2. Document and Intake Automation

    Invoices, forms, contracts and email requests are read, classified and routed without a person keying them in. Anything the model is unsure of goes to a human with the extracted fields already attached, so review is a check rather than a re-entry.

    What is an AI agent?
  3. Workflow Orchestration

    Multi step processes run across the systems that already hold your data, with retries, timeouts and compensating actions defined up front. When a step fails, the process knows what to undo rather than leaving a half finished record behind.

    What is an AI agent?
  4. Decision Automation

    Rules and models handle the routine decisions, approvals, eligibility checks, tier assignment, while exceptions escalate with the reasoning attached. Every automated decision is logged with its inputs, so an auditor can reconstruct why a given outcome happened.

    What is an AI agent?
  5. System Integration

    Automation only works if it reaches the systems the work lives in. We connect your ERP, CRM, ticketing and finance tools directly, with identity and permissions designed first rather than bolted on once something is already running.

    What is an AI agent?
  6. Monitoring and Exception Handling

    Every automated process reports throughput, failure rate and the exceptions it could not settle. You find out that a queue is backing up from a dashboard rather than from the person whose work it blocked.

    What is an AI agent?

03 Our process

How a Business Process Automation Build Runs

An automation build runs in seven steps, from process discovery and opportunity scoring through design, integration and testing against real volume, to a controlled rollout and ongoing tuning. Nothing touches live work until the exception rate is a number you have seen.

What AI development costs
  1. Process Discovery

    We sit with the people doing the work and record what actually happens, including the workarounds. The output is a map of every step, who touches it, how long it takes and where the work waits.

  2. Opportunity Scoring

    Each step is scored on volume, handling time, error rate and how cleanly it can be automated. That produces a ranked list, so the first thing we build is the thing that pays back soonest rather than the thing that is most interesting.

  3. Solution Design

    We design the automation end to end, including what happens when it fails. Retries, timeouts, compensating actions and the escalation path are decided here, because these are what separate an automation that runs unattended from one that needs a babysitter.

  4. Integration Build

    We connect the systems the process runs across, with identity and permissions handled properly. Where an API does not exist we agree the approach with you rather than quietly resorting to screen scraping.

  5. Testing Against Real Volume

    The automation runs against historical work before it touches live cases, so accuracy and exception rates are numbers you have seen rather than numbers you were promised. Thresholds for automatic handling are set from that evidence.

  6. Controlled Rollout

    We start with a defined slice of the workload, usually one team or one document type, and widen it as the exception rate holds. A rollback path stays available throughout, so expanding is a decision rather than a commitment.

  7. Operate and Improve

    After launch we monitor throughput, failure and exception rates, and tune the thresholds as the process changes. Automation drifts as the business does, so the reporting matters as much as the build.

05 Case studies

Processes we have automated

Work that used to sit in a queue, and what runs it now.

Construction Management

Real-Time Construction Coordination, From HQ to Field

A construction coordination platform for multi site work, replacing spreadsheets and scattered email with tasks, schedules and on site progress synced in real time.

2 Hrs
Time saved daily
30%
Fewer errors
4X
Reporting speed
EZ Living Trust project

Legal & Estate Planning

Building a Secure, Multi-Portal Legal Platform

A digital estate planning platform running end to end across three portals, simplifying legal documentation and improving transparency for every party to a trust.

3
Portals in one platform
7
Step guided workflow
12
Month engagement
Landwise NWA project

AI Based Real Estate Property

AI-Driven Property Insights Platform

Landwise NWA transforms commercial real estate workflows by providing AI-powered insights and data integration for faster decisions.

4x
Faster call evaluation
90%
Coaching accuracy
3x
Rep engagement
Convert AI project

AI Automation

AI-Powered Content Automation Platform

An AI content engine that turns sales and strategy calls into ready-to-post content, matched to the brand's own voice and scheduled straight to LinkedIn.

30%
Cost reduction
50%
Faster decisions
90%
Prediction accuracy

06 Client review

Estimates matched the timeline.

Scope was set up front, the launch hit the milestone billing we agreed, and delivery matched what we were quoted.

Maria Alvarez VP Engineering, fintech

Clutch

A manager working at a desk by the window

07 Tech stack

What we automate with

The orchestration, extraction and integration tooling we build your automations on.

  • OpenAI
  • Claude
  • Gemini
  • Llama 3
  • Mistral
  • Falcon
  • LangChain
  • LlamaIndex
  • Haystack
  • DSPy
  • LoRA
  • PEFT
  • Axolotl
  • Unsloth
  • Pinecone
  • Weaviate
  • pgvector
  • Qdrant
  • Chroma
  • OpenAI API
  • Anthropic API
  • Vertex AI
  • Bedrock
  • LangSmith
  • Langfuse
  • Arize
  • Helicone
  • Guardrails AI
  • NeMo Guardrails
  • Presidio
  • Streamlit
  • Chainlit
  • Next.js
  • Vercel AI SDK

08 Challenges

Why automation projects disappoint

Automation projects disappoint when the documented process is automated instead of the real one, when exceptions have nowhere to go, or when nobody owns the thing after launch. Discovery and an agreed exception path deal with all three before a line of code is written.

Automating the process as documented

The written process and the real one diverged years ago. Automating the document produces something nobody can use, because the workarounds people rely on were never in it. Discovery has to record what actually happens first.

No exception path

The happy path is automated and everything else quietly fails or, worse, completes incorrectly. Without a defined exception route the automation shifts work rather than removing it, and the shifted work is harder to see.

Brittle screen scraping

Automation built on clicking through a user interface breaks the first time a vendor ships a redesign. It looks cheap to start and becomes a maintenance liability that nobody wants to own.

Nobody owns it after launch

The automation works on the day it ships and slowly drifts as the process changes. Six months later it is handling a smaller share of the work and nobody has noticed, because nothing reports on it.

Automating a step that should be deleted

The fastest automation is removing work that no longer serves a purpose. Steps survive because they are in the process, not because anyone needs them, and automating one makes it permanent.

No baseline to measure against

Without knowing the current handling time, error rate and volume, there is no way to say whether the automation helped. The business case gets argued on impressions rather than on numbers.

09 Why us

Why Teams Choose Our Business Process Automation

Teams choose our business process automation because we map the work before automating it, design the exception path first, and measure against a baseline recorded up front. That is what makes the business case hold when finance asks what actually changed.

  • We Map Before We Automate

    Discovery records how the work actually runs, including the workarounds nobody documented. That is what stops us automating a process that exists only on paper.

  • Exceptions Designed First

    The escalation path is agreed before the happy path is built, because an automation without one moves work rather than removing it. Exceptions arrive at a person with the context already attached.

  • Integration Over Screen Scraping

    We connect to systems through their interfaces wherever one exists. Where it does not, you hear about the trade off rather than inheriting a script that breaks on the next vendor release.

  • Measured Against a Baseline

    We record handling time, error rate and volume before anything is automated, so the improvement is a comparison rather than a claim. The business case holds up when finance asks.

  • Auditable by Design

    Every automated decision is logged with its inputs and its reasoning. In regulated processes that is the difference between an automation you can keep and one that is switched off at the first review.

  • We Will Tell You to Delete It

    Some steps should be removed rather than automated. We say so, because making unnecessary work permanent and fast is worse than leaving it slow and visible.

11 FAQ

Frequently asked questions

The things teams ask before automating a process with us.

Business process automation handles the repeatable parts of a process: reading and classifying documents, routing work, making rule based decisions, and moving data between systems. Anything ambiguous escalates to a person with the extracted fields and the reasoning already attached, so review is a check rather than a rekey.

Often, and it is a common starting point. We begin with an audit of tenancy, permissions and data model, because those three decide whether the codebase can be extended or should be replaced in slices. You get that answer in writing before committing to a build.

A scoped pilot usually reaches a working demo in four to six weeks, and a measurable outcome in a quarter. We agree the number we are moving before development starts and report against it from the first week, so progress is visible rather than asserted.

An audit or a two-week discovery is the usual way in. It is a fixed fee, it produces something you keep whatever you do next, and nothing about it obliges you to carry on with us.

It depends on how much of your volume is genuinely repetitive and how good your knowledge sources are. We measure your own baseline during discovery and give you a range before you commit, rather than quoting an industry average that may not apply to your catalogue.

12 Get in touch

Ready to map a process?

Tell us which process is costing you the most time. We come back with what can be automated, what should be deleted, and what it would take.