Discover
Interview leadership and the team. Map how work really moves through your business and where it breaks down.
AI workflows for finance and ops teams that actually ship
Turn messy internal work into workflows that run themselves.
Most of your team's day disappears into chasing approvals, reconciling spreadsheets, and copy-pasting data between tools that should already talk to each other. Practora is the consulting partner that diagnoses where the time goes, then builds practical AI into the tools you already use. Live pilots in weeks, not quarters.
We work inside the systems you already run
How we work
Diagnose, deploy, then improve.
We start by understanding how your team works day to day, and where the hours go. Once we know what's worth automating, we ship a workflow and prove the ROI before doing anything else. Then we keep tuning it as your business changes and the tools around us get better.
Prioritise
Score opportunities by impact and effort. Start with the clearest return and lowest implementation risk.
Deploy
Design, ship, and improve workflows and agents around your existing systems and permissions. Pilot, then expand.
Measure
We track success through return on investment, baselined against how the work runs today.
Maintain
AI tooling keeps changing. We stay on as a partner, improving, adapting, and extending agents as your business grows. We also upskill your staff to automate workflows themselves.
Operational success
Examples of work we've put live.
We don't ask you to commit to a multi-month implementation up front. We start with one workflow that should pay back quickly, prove the ROI, and only then move on to the rest of the business.
Automated support agent
An AI support agent now resolves 80% of common customer questions without a human. Response time dropped from 4 hours to 30 seconds, and the support team shifted to higher-value escalations.
-75%
Cost
Data synthesis pipeline
Implemented an automated contract review system capable of parsing thousands of documents to flag risks and anomalies instantly.
1,000+
Hours saved
Automated acquisition engine
A fully automated acquisition engine: capture, qualify, route, with no manual touch. Returned 20.6× the build cost.
20.6×
Return
Invoice processing agent
Deployed an autonomous agent to collect invoices from clients, categorise them, and prepare for final accounting processing.
4 hrs
Saved per day
Why now
Where the hours actually go.
The real cost isn't missing a trend. It's the hours your team spends every week on work that could already be automated. We help you find them, then ship the workflows that take them back.
-
.01
Reduce operational overhead.
Automated workflows handle the checking, chasing, and status assembly that slow teams down.
-
.02
Accelerate execution.
Work that once needed handoffs across spreadsheets, inboxes, and CRMs starts moving continuously.
-
.03
Scale without more admin.
Operational output rises without another coordination layer or a fight to abandon trusted systems.
Why Practora
Not engineers guessing at workflows from the outside.
In house, we've spent years inside finance and operations: management accounting, workflow design, and the unglamorous reality of where coordination breaks down. We've also built and shipped operational software at scale, so we have a feel for what's worth building, what should stay a spreadsheet, and how to integrate either one with the systems you already trust.
That mix matters. Most consultancies lean one way or the other. We've found you need both to ship something that survives contact with a real finance team.
Operations depth
Years inside finance and ops, including management accounting. Not engineers guessing at workflows from the outside.
Product delivery
We've built and shipped operational software people actually use, so we have a working sense of what's worth automating.
Built by us
We use our own product to run our own books.
Spark handles our invoice intake, reconciliation, and cash reporting end-to-end. When we work with you, we bring the same approach, adapted to your stack, your approvals, and your data. It's also the easiest way to see the kind of agent we'd build for you before we build it.
Practical details
Questions before we go deeper.
Things people usually ask us before booking a call. Worth reading first.
What happens during the free discovery call?
A 30-minute working session. We review the workflow you think is causing drag, the systems involved, who owns the process, and whether automation will create real leverage. You'll leave with a clearer view of what's worth automating first. No obligation to do anything next.
How much involvement is required from our team?
Usually under 20 hours total: a few leadership conversations, a handful of employee interviews, and access to the relevant systems.
How long does it take to deploy a workflow?
A simple workflow moves from diagnosis to live pilot in weeks. Cross-system workflows take longer, since permissions, integrations, and internal review set the pace.
How do you ensure security and governance?
Every workflow operates inside existing permissions, approval rules, and audit trails. Sensitive actions need human review and clear ownership from day one. Every action is logged, traceable, and explainable.
What kinds of work can be automated?
Monitor systems, analyse incoming data, prepare reports, route approvals, draft responses, flag exceptions, and coordinate work across tools.
Can workflows be customised to ours?
Yes. We design around your process, systems, controls, and language, not a generic automation template.
Will it work with our existing tools?
That's the preference. APIs, automations, documents, or human approval steps, whichever bridge the workflow needs.
How do we make sure the ROI is real?
We baseline the current workflow, estimate time and cost conservatively, and start with the workflow most likely to prove value first.
How does pricing work?
First call is free. If there's a fit, we scope a paid diagnostic. Implementation and maintenance are priced once the workflow, systems, and ROI are clear.
Do we need perfect data before starting?
No. Messy data is part of the diagnosis. We separate what can be improved now from what needs cleanup before a workflow should touch it.
What happens after a workflow goes live?
We monitor performance, tune prompts and rules, watch costs, maintain connectors, and let live evidence guide what to improve next.
See what we'd automate first
Before you buy another AI tool, find the work worth changing.
Book a free call. If there's a fit, we scope a diagnostic: interview the right people, map the real workflow, calculate the ROI, and tell you what to build first.