Software-led managed operations

We build the system.We run the work.

MomentText takes a recurring, intelligence-heavy business workflow, builds the software and controls around it, runs it in production and stays accountable for quality, speed, cost and control. Your people keep the judgment.

Diagnostic: 2–3 weeks, fixed feeYou keep the findingsPilot only if the numbers support it

Workflow diagnostic · ROI blueprint

What you receive
Fixed fee · 2–3 weeks
01

One workflow

Mapped end to endYours to keep, whatever you decide next

Process mapEvery recurring process · who does it · hours, utilisation and spend

Mapped

ROI rankingAutomation candidates ranked by projected return and risk

Ranked

Judgment mapWhat machines produce · what named people decide

Drawn

Phased build planFirst workload, pilot boundary and the sequence after it

Agreed

Go or no-goReplacement economics against the current model

Your call
Standalone work productNo commitment beyond it

One workflow at a time.

Paid diagnostic. Bounded pilot. Managed operation only after measurable improvement.

2–3 wksWorkflow diagnostic
6–10 wksProduction pilot
When targets are metManaged operation

01 / WHICH SITUATION IS YOURS

Start from the work,
not from AI.

Seven situations bring most teams to us. Each already has a named owner, a budget and a definition of good work, which is what makes it a safe first workflow. Open yours, then book the diagnostic.

01DOCUMENT OPERATIONS

A team or vendor keys documents into the ERP every day.

TYPICALLY LED BYHead of Finance Operations · Shared Services · AP Manager
YOU RECOGNISE THIS

Invoices, payment documents, remittances or statements arrive in volume. Cost scales with headcount; accuracy and cycle time do not. Errors surface downstream in reconciliation, payment runs and audit findings.

HOW THE MODEL APPLIES

We build and operate the pipeline: ingestion, classification, extraction and confidence-based exception review. We are measured on accepted output written into your systems of record.

EXAMPLE WORKFLOWS
  • Invoice and payment-document capture
  • Billing reconciliation and scope-creep detection
  • Statement and remittance matching
Start with a diagnostic
02AUDIT & CONTROLS

Controls are tested quarterly, on samples, months late.

TYPICALLY LED BYChief Audit Executive · SOX/ICFR lead · Head of Risk & Controls
YOU RECOGNISE THIS

Findings arrive after the fact. A monitoring tool needs constant tuning and nobody clears the alert queue. Co-source hours scale by headcount rather than coverage.

HOW THE MODEL APPLIES

Continuous control testing across the full population, exceptions routed to named owners with evidence, weekly board-ready insight. Operated by us; judged by your people.

EXAMPLE WORKFLOWS
  • Continuous control testing across the population
  • Access-risk and segregation-of-duties monitoring
  • Duplicate-payment and vendor-master checks
Start with a diagnostic
03COMPLIANCE & POLICY

Obligations live in spreadsheets; evidence is chased over email.

TYPICALLY LED BYChief Compliance Officer · Head of Regulatory Compliance · Company Secretary
YOU RECOGNISE THIS

A GRC suite configured once and updated never. Policy approvals stuck where nobody can see them. A regulator request that took weeks to answer.

HOW THE MODEL APPLIES

We configure obligations, assign owners, collect submissions, resolve exceptions and route approvals through one governed system. Regulatory interpretation and final judgment stay with your compliance leaders.

EXAMPLE WORKFLOWS
  • Obligation tracking and evidence collection
  • Policy lifecycle and multi-level approvals
  • Regulator-request assembly with audit trail
Start with a diagnostic
04OUTSOURCING RENEWAL

A BPO or managed-service contract renews in 3–12 months.

TYPICALLY LED BYCOO · Head of Global Business Services · VP Shared Services · Procurement
YOU RECOGNISE THIS

The price rises annually. Every provider now claims AI. Switching feels riskier than overpaying because nobody has evidence to negotiate with, or to walk.

HOW THE MODEL APPLIES

Carve out one bounded workflow, run it in replay and shadow mode against your current provider's baseline, and take quality, cost and cycle-time evidence into the renewal, whether you switch or not.

EXAMPLE WORKFLOWS
  • Any bounded carve-out from a BPO or MSP scope
  • Client-ready reporting from CRM, ad platforms and financials
  • Back-office reconciliation and exception handling
Start with a diagnostic
05PROFESSIONAL SERVICES FIRMS

Partners assemble deliverables instead of reviewing them.

TYPICALLY LED BYManaging Partner · COO · Practice leads
YOU RECOGNISE THIS

Fixed fees while the work grows. Shrinking junior leverage. Generic AI tools your risk committee will not approve and your methodology does not fit.

HOW THE MODEL APPLIES

We build and operate the production layer behind repeatable engagements: classification, drafting, reconciliation and testing, with your methodology encoded. Your professionals review, judge and sign.

EXAMPLE WORKFLOWS
  • Proposal, contract and memo drafting from structured data
  • Client reporting packs and recurring deliverables
  • Engagement kickoff, intake and onboarding
Start with a diagnostic
06REVENUE OPERATIONS

Deals sit untouched because nobody owns the follow-up.

TYPICALLY LED BYHead of Revenue Operations · Sales Ops · Head of Customer Success
YOU RECOGNISE THIS

Leads arrive from forms, inboxes and partners in different shapes. Enrichment is manual, stage data is stale and the pipeline review is a guessing exercise. Closed deals wait days for provisioning and kickoff.

HOW THE MODEL APPLIES

We operate ingestion, enrichment, routing and staleness alerts across the pipeline, and onboarding once a deal closes: provisioning, kickoff routing and intake with no manual step. Pricing, commitments and sales judgment stay with your people.

EXAMPLE WORKFLOWS
  • Deal ingestion, enrichment and routing
  • Staleness alerts and pipeline hygiene
  • Client onboarding and account provisioning
Start with a diagnostic
07INBOUND OPERATIONS

Inbound volume grows faster than the team that answers it.

TYPICALLY LED BYHead of Customer Operations · Service Delivery lead · COO
YOU RECOGNISE THIS

Service, scheduling and intake requests pile up in shared inboxes and queues. Response time slips, and the routine 70% consumes the people needed for the difficult 30%.

HOW THE MODEL APPLIES

Tier-1 agents handle classification, scheduling, intake and standard responses at an agreed deflection rate, with every uncertain case routed to a named person with full context. We are measured on resolved volume and escalation quality.

EXAMPLE WORKFLOWS
  • Customer-service triage and first response
  • Scheduling and intake
  • Answers grounded in your SOPs, with citations
Start with a diagnostic
None of these?Recurring digital work with clear inputs, measurable outputs and defined exception paths usually fits, whatever the department. Tell us about it

02 / EVIDENCE

What the work
has proved so far.

Systems this team has built and run behind recurring, high-volume work. Each one demonstrates a part of the model. Client names are withheld where required by NDA; several systems run under the client's own brand.

01 / AUDIT & CONTROLSDELIVERED

Telecom group

From quarterly samples to weekly assurance

A continuous-audit system replaced delayed sample testing with multi-source ingestion, exception queues, ownership routing and board-ready dashboards.

WHAT WE BUILT

A library of 300+ control KPIs across segregation of duties, duplicate payments, vendor-master integrity, PO/GRN matching and period-end postings.

WHAT IT PROVES

Testing the full population continuously is cheaper and faster than sampling it quarterly, once the exceptions have named owners.

300+control KPIs
100%population tested
Weeklyboard-ready insight
Operate something similar
02 / DOCUMENT OPERATIONSDELIVERED

Fortune 500 retailer

1,000+ payment PDFs processed every day

An unattended pipeline read payment documents from email, classified files, extracted fields and sent low-confidence cases to an exception queue.

WHAT WE BUILT

Mailbox ingestion, heterogeneous PDF parsing, structured database writes, confidence-based review and a live throughput dashboard using open-source components.

WHAT IT PROVES

A confidence-gated exception queue lets automation take on volume safely, and every reviewed case makes the next one faster.

1,000+PDFs per day
99%live extraction accuracy
Zerostraight-through keying
Operate something similar
03 / COMPLIANCE & POLICYDELIVERED

Multi-department enterprise

One governed path from draft to approval

A Microsoft 365 policy portal replaced fragmented repositories and manual chasing with controlled publishing, reminders and a complete audit history.

WHAT WE BUILT

Department-scoped libraries, multi-level approvals, mandatory versioning, automated tasks and notifications, plus an English-Arabic experience.

WHAT IT PROVES

When the approval path is explicit and versioned, follow-up work disappears and every decision is traceable without reconstruction.

85%faster approval cycles
100%traceability
60%less admin follow-up
Operate something similar
ADDITIONAL PAST WORK

Experience across complex operations.

Selected production systems delivered across professional services, risk, forecasting and retail operations.

01
Big 4 professional-services firm

Knowledge automation

80% less query-handling time; a re-platformed toolset supported 2,000 concurrent users.

02
Telecom and financial-services environments

Access-risk monitoring

22 identity and access controls delivered in 10 weeks, inside the client perimeter.

03
Consumer health and FMCG

Commercial forecasting

3–5% accuracy uplift from external variables, with hundreds of field managers collaborating live.

04
Multi-retailer operations

Retail price intelligence

More than 90% product-match accuracy across over 10 million records each month.

WHERE THIS TEAM HAS DELIVERED

Organizations our team has worked with, before MomentText and since

KPMGProfessional servicesUniqusAccounting & reportingAurifer.taxTax advisoryReckittConsumer health & hygieneMensaConsumer brandsFX PlusForeign exchange

03 / A DIFFERENT OPERATING MODEL

The boundary of responsibility
is the difference.

Traditional providers give you capacity, software or a completed project. Your team still remains responsible for getting the work done. MomentText builds the production system and remains accountable for operating and improving the eligible workflow against agreed performance targets.

01 / CAPACITY

Headcount-based provider

WHAT YOU BUYPeople, seats and hours
RESPONSIBILITY ENDS WHENCapacity has been supplied
SCALES BYAdd more people
02 / ACCESS

Software-only vendor

WHAT YOU BUYAccess to a tool
RESPONSIBILITY ENDS WHENThe software is available
SCALES BYAdd more licences
03 / DELIVERY

Build-and-handoff AI project

WHAT YOU BUYA system or prototype
RESPONSIBILITY ENDS WHENFeatures have been delivered
SCALES BYAdd projects and change requests
We are measured by the work—not the staffing.A clear operating fee covers the system, controls and committed capacity. A defined performance component links our fees to accepted work. Specific pricing is set per workflow at the end of the diagnostic.

04 / HOW AN ENGAGEMENT RUNS

One workflow.
Increasing responsibility.

The sequence protects both sides: understand the current work, set the first target, learn in production and expand responsibility only as performance improves. We do not hand over a tool and disappear.

02 / PRODUCTION PILOT

Build, run and learn

One bounded workload in replay, shadow mode and controlled production. The incumbent keeps operating until you decide otherwise.

  • Software, integrations and context layer
  • Quality, cost and cycle-time evidence
  • Team adoption: training, runbooks, usage targets
Usually 6-10 weeks
03 / MANAGED WORKFLOW

Reach and sustain the standard

Recurring operation around measured performance, explicit service levels and governed expansion.

  • Clear operating fee, inference cost included
  • Defined workflow and performance targets
  • Continuous evaluation and improvement
Only after targets are met

THE ACCOUNTABILITY BOUNDARY

Machines produce.
People judge.

01MomentText performs repeated intelligence work and ordinary production
02Named people retain policy, risk, priority and final approval
03Every accepted result carries evidence, version and audit history
04Autonomy expands only when production evaluation supports it

05 / THE PRODUCTION ADVANTAGE

The software is how accountability scales.

We build the workflow engine behind the work: secure integrations, explicit state, versioned evaluations, approval gates, observability and an auditable result ledger. Each reviewed exception makes the next deployment faster and more reliable.

Explore the engineering foundation
MOMENTTEXT / MANAGED WORKFLOWCONTROLLED
1Contextsystems · rules · history
2Productionsoftware · agents · controls
3Performancemeasure · learn · improve
Current provider and baselineMeasured
Human judgment boundariesEnforced
Quality and regression gatesVersioned
Outcome and cost telemetryContinuous

06 / ENGINEERING FOUNDATION

Built by a software firm.
Operated as a service.

Four modules we build once and reuse across every managed workflow. Eight years of production software engineering sit underneath them.

01

Context layer

One governed source of truth for data, SOPs, rules and workflow state, so every system and agent we run works from the same facts instead of twenty disconnected tools.

02

Data consolidation

Pipelines that pull scattered spreadsheets, inboxes and systems of record into one queryable, permissioned store with lineage and operational telemetry.

03

Knowledge and retrieval

Your SOPs and history exposed to people and agents with citations, so the team stops asking the same questions and agents answer from policy rather than guesses.

04

Model routing and control

Deterministic software where rules are reliable; agents where language is; evaluations around both. Routing across models keeps inference cost inside our operating fee without cutting output quality.

07 / WHY THIS MODEL

What changes when you
buy the work, not the tool.

Software-led managed operations is a newer way to buy operational work. It became possible when AI let a small software team do work that once needed a large one, and be held to the result. Here is what that changes for you, compared with hiring, outsourcing or licensing.

The changeWith people or toolsWith a managed workflow
01

You pay for results, not effort

Fees are tied to accepted work against agreed quality, speed and cost targets, so our incentive is to improve the workflow, not to bill more of it.

Hours, seats or licences, whether or not the work improves

An operating fee plus a component linked to accepted output

02

Improvement compounds instead of resetting

Every reviewed exception becomes a rule, an evaluation or a better prompt. The workflow gets faster and more accurate over time rather than depending on who is on shift.

Knowledge leaves with people; tool configuration drifts

A versioned system that learns from its own exceptions

03

Cost trends down as volume grows

Automation takes on a rising share of the work, so unit cost falls with scale. Headcount and per-seat pricing move the other way.

Cost rises with volume and with every annual renewal

Cost per outcome falls as automation share increases

04

Your people do the judging, not the producing

Routine production moves to the system. Your experts spend their time on policy, exceptions and approvals, which is the work that needs them.

Skilled people assembling, keying and chasing

Named people deciding, with evidence in front of them

05

Evidence replaces assurances

Every accepted result carries its inputs, version and audit trail, and performance is reported continuously. You always know how the workflow is doing.

Monthly status calls and sampled quality checks

Live telemetry and an auditable ledger of every result

06

The adoption problem goes away

Most automation fails after go-live because nobody uses it. Here the system is operated for you, and adoption for your reviewers is part of the pilot, not an afterthought.

Logins issued; usage fades within a quarter

Operated by us; your reviewers trained and measured

Paid diagnostic. Bounded pilot. Proof before commitment.

Start with a diagnostic.
Leave with the evidence,
whatever you decide.

Tell us how the work runs today, who performs it and what good looks like. In two to three weeks you will have the baseline, the judgment map and the first target, and a clear view of whether a pilot is worth running.

We typically reply within one business day.