We build governed AI agents that work inside SAP, Salesforce and ServiceNow — matching invoices, clearing exceptions and reconciling accounts before your team logs in. Then we prove what changed in your own event logs. One process, six weeks, one fixed fee.
SAP · Salesforce · ServiceNow · Oracle · Workday
*Delivered by our team at prior engagements.
It's not the models. It's the two ways most companies deploy them.
Everyone gets an assistant. Within a quarter there are dozens of disconnected agents, a token bill nobody forecast, and no one who owns any of it. Assistants help a person work faster — but they don't do the work when nobody is prompting them, and nothing shows up in the close.
A new tool for AP, another for the close, another for expenses. Software built for everyone isn't built for your process — it doesn't know your AP runs seven steps, not four, or how your exceptions actually get handled. Your team works around it, and the ROI never appears.
Background agents built into the systems you already run — governed like employees, with scoped permissions, human review queues and full audit trails — and measured in your own event logs, so the return is proven rather than asserted. That's what our pilot exists to show.
A governed AI agent working one of your processes, with guardrails agreed up front and results you can check yourself. Most clients start in finance — accounts payable, reconciliations, month-end — but any process that produces event data qualifies.
From $40,000 • fixed at the scoping call • credited toward your rollout or scale-out
We capture how the process performs today: how much of it is handled by hand, what each case costs, how long cases sit waiting, and how often they bounce back for rework. Signed off before the agent starts.
The agent goes to work inside SAP, Salesforce, ServiceNow or whichever system runs the process, with guardrails agreed up front: scoped permissions, confidence thresholds, a human review queue and a full audit trail.
We measure the process again and review it with you, so the decision to scale, tune or stop is yours to make on solid numbers.
Our flagship plays are in finance, because the work is repetitive, the processes are well-defined, and the cost of the manual version is easy to put a number on.
It happens hundreds of times a month. Today it costs an analyst fifteen minutes of digging: who ordered this, where's the PO, does the amount match, who needs to approve the workaround.
With an agent on the process, the same event runs like the timeline on the right — and your analyst only sees the cases that genuinely need a human decision. Read the full play →
Vendor, amount, dates and line items extracted and checked against the vendor's history — before anyone has opened the inbox.
Searches your PO system by vendor, amount and date, matches the clean ones and posts them straight into SAP — the same way your analyst would.
When it isn't sure, it sends the two likeliest POs to your analyst with everything attached. Fifteen minutes of digging becomes a thirty-second yes or no.
What it read, what it matched, who approved. Every action logged, ready for your auditor — "the AI said so" is never the answer.
Every agent we deploy targets at least one of these, and the week-six report shows the movement in each — in plain terms, straight from your own event data.
How much of the process runs on emails, spreadsheets and workarounds instead of the system. Agents turn those into governed system actions.
What it costs to process one invoice, order or request. Agents take the routine touches out, so your people only handle the cases that need them.
Most cycle time is queueing, not work. Agents act in minutes, so cases stop sitting between steps and the close stops stretching.
Cases bounced back because something was missed or entered wrong. Agents apply the rules the same way every time.
The agent does the work. The other two layers keep it safe and keep it honest.
Built into SAP, Salesforce, ServiceNow and other core systems, with scoped permissions, human review queues and full audit trails.
SAP LeanIX keeps a live map of your systems, interfaces and agents. Agents check it over MCP before they act, instead of relying on assumptions.
SAP Signavio or Celonis captures how each process performs before an agent touches it, and again after, so the return is measured rather than estimated.
Results delivered by our engineers ↓
*Results achieved by our team members at prior engagements before forming Impira.
Practical knowledge from real enterprise deployments
Straight answers, no pitch deck
We start with a 2-week discovery sprint to understand what needs to be built, select the right process intelligence platform for your landscape, and define baseline KPIs. From there, we work in 6-8 week sprints, each one shipping something that runs, with your people involved from day one. Every engagement includes knowledge transfer and change management because we build both systems and capability that work without us.
One agent works on one process for six weeks, from $40,000, with the exact fee fixed at the scoping call. In the first week we measure how the process performs today. The agent then goes to work with guardrails in place, and in week six we measure again and review the results with you. If you roll out or scale to more processes, the pilot fee is credited toward that work. See the full pilot offer.
Assistants make one person faster, and they have their place. But an assistant waits to be prompted — a background agent does the work whether or not anyone asks. The invoice is matched, the reconciliation is done, the chase email is sent before your team logs in. Most enterprises end up needing both, but only one of them moves the close, and only one leaves evidence in your event logs. The one-page comparison →
Then you'll know — in six weeks, for a fixed fee, with a before-and-after measurement from your own systems rather than a vendor's slideware. You keep the baseline, the process map and the guardrail design either way. We'd rather show you a flat number than assert an ROI we can't evidence. That's the point of measuring.
Measurable outcomes are embedded from day one. We define baseline KPIs in discovery, set improvement targets tied to business outcomes, and track progress through live dashboards. The same dashboards your executives review. Every sprint delivers against defined value targets, so you can see ROI accumulate, not just hope for it at the end.
We're headquartered in Perth with resources available Australia-wide. We work with clients across the country and can support both on-site and remote delivery models. For intensive discovery phases, we typically prefer to be on-site with your team.
A 30-minute conversation with an engineer — not a salesperson — is enough to choose the process, confirm the systems and fix the price.
Talk to an engineer