01
Workflow automation builds
Ops processes rebuilt as instrumented pipelines with retries, idempotency and a trace per task — wired into the systems of record you already run on.
PROCESS MININGORCHESTRATIONSAP / NETSUITE
AI SYSTEMS ENGINEERINGEST. 2022 — MUMBAI, INDIA
WE BUILD
SYSTEMS.
Munday AI designs, builds and runs AI automation inside enterprise operations. We ship instrumented systems into production and stay on the pager.
No pilots that stay pilots. No demos without evals. Every workflow measured before and after.
- UPTIME
- 99.94%
- SYSTEMS
- 9 LIVE
- ON-CALL
- 24/7
●MUNDAY.OPS / LIVE TELEMETRY--:--:--Z
> munday run invoice-exceptions --env prod
[ingest] 412 documents queued
[classify] confidence 0.97 · 6 routed to human
[retrieve] ledger + contract terms matched
[agent] drafting 406 resolutions
[eval] accuracy 0.983 · gate PASS
[commit] written to SAP · 3.1s median
> ok — 406 touchless, 6 escalated
THROUGHPUT
1,408 tsk/min
Illustrative throughput telemetry, 1,408 tasks per minute.1,408 tsk/min
1.4M tasks executed / monthISO 270010.983 median eval accuracyruns in your VPC12 weeks to productionSOC 2 Type IIyou own the codeevals before demos99.94% uptimeno platform licencesenior-only crewon-call included
Tasks executed / month
1,420,000
Across nine production systems, June 2026.
Median cycle-time cut
62%
Measured against pre-build baselines.
Systems in production
9
Live, monitored, on our on-call rota.
Pilots that stayed pilots
0
Nothing we scoped failed to ship.
01 / Capabilities
Five things.
Built properly.
We don't sell a platform and we don't resell licences. Each engagement is a build: scoped against your systems of record, delivered with evals, handed over with runbooks.
02
Custom AI agents
Narrow, tool-using agents with hard boundaries: explicit permissions, confidence thresholds and a human queue for anything below the line.
TOOL USEGUARDRAILSESCALATION
03
RAG & knowledge systems
Governed retrieval over your documents with freshness scoring, access control inherited from your IdP, and answers that cite the clause they came from.
PGVECTORACL-AWARECITATIONS
04
LLM infra & evals
The unglamorous layer: model routing, cost controls, prompt versioning, regression suites and dashboards that page someone when quality drifts.
EVAL HARNESSOBSERVABILITYCOST/TASK
05
Strategy & audits
A ranked automation map of your operation, costed in hours and error rate, with a numeric case per candidate — and an honest list of what to leave alone.
2 WEEKSFIXED FEECREDITABLE
02 / Method
The pipeline
runs itself.
Fixed-shape engagement, five stages, twelve weeks to production. Stage gates are numeric: nothing advances without passing its eval threshold.
- S1WK 1–2
Audit
Process mining across your systems of record. Every candidate workflow costed in hours and error rate.
GATE — RANKED MAP SIGNED OFF - S2WK 3–4
Spec
One workflow, fully specified: data contracts, failure modes, human-in-loop boundaries, eval set.
GATE — 200-CASE GOLDEN SET - S3WK 5–9
Build
Pipelines, agents, retrieval and integrations built in your cloud. Weekly demo against real traffic.
GATE — SHADOW MODE PARITY - S4WK 10–11
Eval
Offline evals, red-teaming, cost-per-task modelling. Thresholds agreed before the switch flips.
GATE — ACCURACY ≥ 0.97 - S5WK 12 →
Operate
Runbooks, dashboards, on-call rota. Retrained on drift, reviewed monthly, or handed to your team.
GATE — UPTIME ≥ 99.9%
03 / Production work
Measured before. Measured after.
Client names withheld under NDA — figures are placeholders pending your sign-off
CASE 01 — GLOBAL FREIGHT
Invoice exception handling, 340k documents a year
Carrier billing disputes were resolved by hand across three regions with a nine-day backlog. We rebuilt intake as an instrumented pipeline: classification, contract retrieval, drafted resolution, human review only under the confidence threshold.
SAPPGVECTORTEMPORALSHADOW MODE 6 WKS
71%
Touchless resolution
9.0d → 4h
Median cycle time
11 → 3
FTE on the queue
CASE 02 — SPECIALTY INSURANCE
Claims triage with an auditable decision trace
First-notice-of-loss triage needed to be defensible to a regulator, not just fast. Every routing decision now carries a full trace of retrieved policy clauses and the eval score of the model version that made it.
GUIDEWIREEVAL HARNESSHUMAN-IN-LOOPREGULATOR REVIEWED
0.983
Triage accuracy vs adjusters
62%
Cut in time-to-first-contact
100%
Decisions with full trace
CASE 03 — B2B SOFTWARE
Internal knowledge system for 2,400 support staff
Eleven documentation sources, four of them stale. We built retrieval over a governed index with freshness scoring, then wired deflection into the existing ticket flow rather than a new chat product nobody would open.
ZENDESKRAGFRESHNESS SCORINGSSO / OKTA
38%
Tier-1 ticket deflection
4.6 min
Saved per handled ticket
2,400
Staff on the system
04 / Stack
We meet your architecture where it is.
Model-agnostic by default. Everything runs in your cloud, your VPC, your audit log — or ours, if procurement prefers it.
- DEPLOYMENT
- YOUR VPC
- DATA RESIDENCY
- EU / US / IN
- CERTIFICATION
- ISO 27001 · SOC 2
- CODE OWNERSHIP
- CLIENT, DAY ONE
- MODEL TRAINING ON YOUR DATA
- NEVER
- OpenAI
- Anthropic
- Azure AI
- Bedrock
- Databricks
- Snowflake
- Postgres / pgvector
- Temporal
- LangGraph
- dbt
- Kafka
- Kubernetes
- Datadog
- Okta
- SAP
- Salesforce
- ServiceNow
- Snowpark
06 / Questions
The ones procurement asks.
In your cloud account, in your VPC, under your audit logging. You own the repository and the IP outright from day one — the contract has no licence-back clause and no runtime dependency on us.
Every build carries a golden eval set of at least 200 real cases from your own data, plus shadow-mode running against live traffic. We publish accuracy, cost per task and latency, and the numeric gate is agreed in writing before the cutover.
Whichever passes the evals at acceptable cost — usually a frontier model for reasoning steps and a small hosted model for classification. Model choice is a config value, not an architecture decision, so swapping is a deploy rather than a rebuild.
It gets caught by design. Every workflow has explicit confidence thresholds, a human-review queue and a full trace per task. We instrument the escalation rate as a first-class metric and tune the boundary rather than pretending it is zero.
The audit is a fixed fee, fully creditable against a build. Builds are fixed-scope per workflow, invoiced on stage gates. Operate is a monthly retainer you can stop with 30 days notice — no multi-year platform lock-in.
That is the default end state. Handover includes runbooks, architecture decision records, the eval harness and two weeks of pairing. Roughly half our clients run their systems in-house after the first year.
07 / Engage
START WITH
THE AUDIT.
Two weeks, fixed fee, fully creditable against the build. You get a ranked automation map of your operation and a numeric case for each candidate. If nothing clears the bar, we tell you.
● AUDIT.SCHEDULE