We rebuild the processes your industry runs on.

Every channel (email, EDI, portal, phone) lands in a different place. Retyping introduces the errors that later become returns, credit notes and arguments.

AI document processing reads incoming orders, whatever format they arrive in, validates them against your catalogue, prices and credit rules, and creates the order in your system. A person reviews only the exceptions the AI isn't sure about.

Same hour order confirmation with fewer errors. The team handles exceptions, not transcription. Peak season stops requiring temps who make peak season mistakes.

Pick paths are habit, inventory counts are events, and the WMS (if there is one) doesn't talk to the shop floor reality. AMRs are something you saw at a trade fair.

Clean flows between orders, locations and people; cycle counting that maintains accuracy continuously; and where volumes justify it, robot fleets, AMRs for goods movement, orchestrated as one team with your existing racking and rhythms, not a greenfield fantasy.

Stock accuracy you can promise against. Pickers walk less and pick more. Robots take the miles, people take the judgement.

"Where's my order?" is your most common inbound call, and the answer requires asking two colleagues.

Order status pushed to customers proactively (portal and notifications, Experience Cloud / OMS), and an AI service agent that answers status, stock and document requests instantly, escalating cleanly when something is genuinely wrong.

The most repetitive half of inbound contact disappears. Customers find out about delays from you, not from the missing parcel.

Jobs are allocated by habit, travel time eats productive hours, and the office learns what happened on site tomorrow, if the paperwork comes back legible.

Salesforce Field Service: skills based scheduling with optimisation, a mobile app that guides the job and captures evidence (photos, readings, signatures) as structured data in real time, and automatic customer notifications. Where inspection is dangerous or slow, drones and robotic platforms feed the same data backbone.

More jobs per crew per week from the same payroll. First time fix goes up because the technician arrives informed and equipped. The evening paperwork ritual dies. We've orchestrated 200 field assessors this way, see the Cincotti case study.

Readings and asset conditions are collected inconsistently, reconciled manually, and billed late or wrong. Every dispute takes an afternoon to investigate.

A clean path from meter and asset data to invoice: automated ingestion and validation, anomaly detection that flags impossible readings before they become wrong bills, and an auditable record of every step.

Billing disputes fall, cash arrives sooner, and the anomalies you catch early (leaks, theft, failing meters) stop costing you quietly.

An outage triples call volume, and every caller gets told a different thing by a stretched team reading from the same blank screen.

An Agentforce service agent grounded in your live network status and knowledge base: it answers the surge honestly ("known outage, crew on site, estimated 15:40"), files what it can't answer as structured cases, and hands vulnerable customer situations straight to a person.

The surge gets absorbed without hold music. Your team handles the calls that need a human. Regulators get the response time evidence from the system, not from reconstruction.

The same person is three records in three systems, so nobody sees that your best online customer just had a bad store experience.

Data Cloud (or a right sized equivalent, we'll tell you honestly which) unifying identity across channels into one profile with real segments: lapsing regulars, high return buyers, VIPs in the making.

Marketing talks to segments instead of "everyone". Service sees the whole relationship before answering. The lifetime value numbers you suspected become numbers you can act on.

The storefront takes orders your stock can't honour; returns are a spreadsheet; every marketplace adds another manual workflow.

Commerce connected to Order Management: live stock behind the buy button, orchestrated fulfilment across store, warehouse and dropship, and a returns flow that updates stock and refunds without a human relay.

Fewer cancelled orders and overselling incidents. Returns stop consuming a person. Adding a channel stops meaning adding a headcount.

"Where's my order?", "how do I return this?", "is this in stock in my size?", the same questions, all day, at a cost per contact you'd rather not calculate.

An AI agent on your site and messaging channels, grounded in orders, stock and policy: it resolves the routine end to end (including issuing the return label) and recognises the moments worth a human, the angry VIP, the big basket hesitating.

Service cost per order falls while response time drops to seconds, at 2am too. The team moves from answering to retaining.

Every tender starts from a blank sheet, under deadline, on the knowledge of one or two estimators. Past project actuals, the most valuable data you own, sit unused in closed job folders.

A bid workspace where AI does the assembly: reads the tender documents, drafts the take-off against your rates and past actuals, flags the clauses that hurt you last time. Estimators review and decide instead of retyping.

More bids submitted with the same team, priced on evidence instead of memory. The bid/no-bid decision gets data. Margin assumptions stop being folklore.

Progress is a Friday phone-around. Snagging is a paper list photographed and emailed. Disputes are settled by whoever kept better records, usually not you.

Structured site capture on mobile, photos, checklists, measurements tied to plan locations, with AI vision comparing progress against programme where drone or camera coverage exists. Everything timestamped, everything findable.

The Monday report writes itself from Friday's data. Snags are assigned, tracked and closed instead of rediscovered at handover. When there's a dispute, you're the one with the records.

Onboarding a subbie means chasing documents by email; an expired insurance certificate is discovered by accident, at the worst moment.

A subcontractor portal (Experience Cloud): documents uploaded once, validity tracked automatically, expiries chased by an agent that never forgets, site access tied to compliance status.

Compliance risk stops depending on someone's inbox discipline. Commercial teams see at a glance who can be on site tomorrow.

The portal lead from Saturday 22:00 is answered on Monday, after the applicant has booked three viewings with faster competitors. Speed decides this market, and diaries can't provide it.

Every enquiry from every portal into one pipeline (Sales Cloud), with an AI agent that responds within a minute, answers property questions, qualifies (budget, timing, requirements) and books the viewing straight into the negotiator's calendar.

First response measured in minutes, around the clock. Negotiators walk into viewings with qualified applicants and context. The pipeline finally reflects reality.

A leak is reported by voicemail, logged on a Post-it, assigned by memory, chased by phone. The tenant hears nothing and calls again, twice.

A tenant portal for reporting with photos, triage rules that route by urgency and trade, contractor dispatch with Field Service style scheduling, and automatic status updates back to the tenant at every step.

Requests stop getting lost, urgent things move first, tenants stop chasing because they're already informed. Renewal conversations start from a better place.

Contracts, references, AML/KYC checks, gas and energy certificates, assembled by email, stored in folders, tracked by spreadsheet, remembered by luck.

AI document processing that reads, checks and files what applicants and vendors send; a compliance calendar per property that generates its own renewal tasks; an audit trail that's simply there when asked for.

Deals stop stalling on missing paperwork nobody noticed. Certificate expiries become a workflow, not a fine. Due diligence takes days off every transaction.