Mash AI
The work

Different problems,
the same way of working.

Each engagement below shows the shape of the work — how we scope, build, and hand over agentic systems. Figures are modelled from real deployments.

BankingEngagement

Lending decisions in minutes, with the reasoning attached.

Digital-first SME lender

Days → minutes
Time to a decision
0×
Applications per underwriter
Consistent
Same file, same score
0%
Decisions traceable to source
The situation

Underwriters were reading the same bank statements, tax filings, and bureau pulls by hand for every application. Decisions took days, throughput capped at whatever the team could read in a shift, and two analysts could score the same file differently.

What we built

We built a decisioning agent that reads each applicant's documents, normalises the figures, runs the lender's own credit policy as deterministic rules, and returns a scored recommendation with every input cited. Anything outside policy thresholds is routed to a human with the rationale already assembled.

The flow
01
Gather
Statements, filings, bureau pull
02
Normalise
Figures structured & checked
03
Score
Credit policy as fixed rules
04
Refer
Out-of-policy → underwriter
RECOMMENDATION · Approve · citedReview →
“The agent does the reading so my team does the judging. Every file arrives scored, sourced, and ready to sign off, or flagged with a clear reason it can't be.”
Head of Credit
Customer ExperienceEngagement

A support line that resolves the routine and routes the rest.

Subscription consumer business

24/7
Coverage, no night queue
Most
Routine contacts auto-resolved
Higher
CSAT on first contact
Warm
Hand-offs with full context
The situation

A small support team was buried under repetitive contacts, billing questions, password resets, where's-my-order, leaving no time for the conversations that actually needed a person. After-hours volume went unanswered until morning.

What we built

A multilingual voice-and-chat agent that handles common requests end-to-end against live account data, with sentiment tracking and clean escalation. When a contact needs a human, it hands over the full transcript and a suggested next step, so the agent on shift starts in context.

The flow
01
Greet
Identify & verify the caller
02
Understand
Intent + sentiment read
03
Resolve
Act on live account data
04
Escalate
Hand over in context
OUTCOME · Resolved · loggedReview →
“Our people stopped answering the same five questions all day. The hard, human conversations are the only ones that reach them now, and they reach them prepared.”
Director of Support
FinanceEngagement

A month-end close that arrives with its own evidence.

Multi-entity services group

Weeks → days
Book-close cycle
Lower
Manual invoice handling
Live
Board pack from the ledger
0%
Audit coverage by default
The situation

Closing the books meant a fortnight of rekeying invoices, chasing reconciliations across entities, and rebuilding the same board pack by hand each cycle. Auditors then asked for the trail that no one had kept as they went.

What we built

A set of finance agents that extract and three-way-match invoices, reconcile statements against the ledger, and assemble the MIS pack from live data, every posting traced to a source document. Controllers review exceptions instead of re-typing entries, and the audit trail is a by-product, not a scramble.

The flow
01
Capture
Invoices read & matched
02
Reconcile
Statements vs. ledger
03
Assemble
MIS pack from live data
04
Review
Controller signs exceptions
CLOSE STATUS · Signed · sourcedReview →
“We went from chasing the close to reviewing it. The evidence an auditor wants is already attached to every entry by the time we look.”
Group Controller
What every engagement shares

Whatever the problem, the principles don't change.

The code is yours

Every system we ship transfers in full, you can read it, change it, and run it without us.

It runs in your world

We deploy into the cloud, models, and data layers you already use, with no rip-and-replace.

It can be audited

Every action is logged, traceable to source, and reversible, governed by MASH, our orchestration layer.

Bring us a workflow