Lead qualification & routing
Inbound enquiries triaged by agent: enriched, scored, routed, with first-touch reply within minutes. Replaces a full SDR shift across your funnel.
Typical impact · 40-60% lower CPA · 3-5x faster first response
AI that goes the distance
Agentic AI that ships, scales, and pays back.Built around the way your business actually works.
Production-grade automation, integrated with the CRM, ERP, comms and data tools you already run. Measurable ROI inside 90 days. Built by a team that has shipped before.
Built to talk to the stack you already pay for
Salesforce
HubSpot
SAP
Microsoft 365
Google Workspace
Slack
Notion
Zendesk
Built across the full frontier · closed-source & open
OpenAI
Anthropic
Google Gemini
xAI Grok
Meta Llama
Mistral
DeepSeek
Qwen
The shape of AI that pays back
Production wins.Here’s how we get you there.
88% of executives are increasing agentic AI budgets in 2026. The teams that ship into production are the ones that compound. Here’s the gap between the two — and how we close it.
67%
60-70%
90days
88%
What we build for you
Four shapes of work.Pick the closest match.
Each engagement starts with a real workflow audit and ends with software your team owns. Twenty years of SaaS, ERP, CMS and AI-infrastructure engineering behind every system.
01.Revenue operations
Revenue agents: lead-to-cash, automated.
Inbound qualification, account scoring, opportunity routing, follow-up cadences, deal-risk monitoring. Plugged into your CRM, your calendar, your data warehouse. Replaces hours of SDR/AE busy-work, surfaces the deals that need a human.
Talk about a revenue build → 02.Back-office operationsOperations agents: the boring expensive bits.
Invoice processing, vendor onboarding, contract analysis, compliance tracking, internal helpdesk. Multi-agent pipelines that talk to your ERP, finance system, ticketing platform. Single-tenant; your data never leaves your environment.
Talk about an ops build → 03.Marketing & comms at scaleBrand-trained content agents: voice you own.
Fine-tuned on your brand voice, look and asset library. Campaign launches, multi-variant testing, localised content, performance analysis loops. Internal comms, external campaigns, product marketing produced at the volume today’s comms cycles demand.
Talk about a content build → 04.Flagship engagement · Customer-facing productAgentic SaaS, white-label: built under your brand.
You ship a product; we build the agentic layer underneath. Customer-facing platforms, internal tooling for your team, SaaS you can resell. We’ve shipped agentic products under our own name (CineSmith); we can ship one under yours.
Talk about a product build →Ready when you are
How we work
Phased delivery.
Phased delivery.
Go/no-go gates at every step.
Designed around the way leadership teams actually approve AI investment: small upfront commitment, measurable signal in 2–4 weeks, full build only after value is proven.
01 · Discovery
Workflow audit
2 weeks. Fixed fee. We embed with your team, map the work as it actually happens, identify the highest-leverage place an agent should live. Output: scope, ROI model, build plan. Go/no-go before you commit to phase 2.
02 · Prototype
Working agent in 2-8 weeks
A real agent against real data, scoped tight enough to fit a sprint. Multi-model, multi-cloud, your stack. Output: deployed prototype, accuracy benchmarks, first ROI signal. Go/no-go before you commit to phase 3.
03 · Production build
Ship the system
8-16 weeks depending on scope. Evaluation harness, observability, governance controls, the UI your team will actually use. Output: production system, runbooks, training, handover. Measurable ROI hitting your metrics inside 90 days.
04 · Handover & retainer
You own it
Your team takes ownership of a system they can run. Documentation, training, escalation paths. Optional retainer for ongoing improvement, model upgrades, new workflow additions. No vendor lock-in — the code is yours.
How we engageFixed scope, phased deliveryUK-based engineeringSingle-tenant by default
Transparent, phased, accountable
Three ways in.One way to ship.
No hourly billing, no retainer drag, no “we’ll scope as we go.” Fixed scope, fixed fee, phased gates. You know what you’re buying and when it’ll land.
- i.Discovery sprint. 2-week workflow audit, ROI model, build plan, working proof-of-concept on real data. Hard deliverable: a decision-grade document that tells you whether to build or not.
- ii.Prototype build. A single agent or pipeline deployed to a real environment in 4-8 weeks. Accuracy benchmarks, monitoring, first ROI signal. Most teams move into production from here.
- iii.Production build. The full system: agents, integrations, evaluation, observability, governance, UI, training, handover. Delivered in 8-16 weeks. Measurable ROI inside 90 days of production.
- iv.Ongoing retainer. Optional. Ongoing improvement, model upgrades, new workflows, on-call support. Most clients keep us on retainer for 6-12 months post-launch.
Compliance: GDPR ready · UK data residency available · Single-tenant by default · SSO · Audit logs · SOC 2 partner infrastructure
Where we’ve shipped
Use cases that pay back.
Every one of these is a real engagement pattern. Each has a measurable ROI target and a 90-day production milestone. Numbers are typical ranges across our delivery history.
Invoice & AP automation
Inbound invoices parsed, matched against POs, flagged for exceptions, routed for approval, posted to your ERP. Multi-format, multi-currency, multi-entity.
Typical impact · 70-85% touchless processing · 2-3 day cycle reductionCompliance & risk monitoring
Centralised compliance dashboards. Real-time pulls from HRIS, CRM, ticketing, contracts. Agents draft audit reports, surface red flags, track remediation deadlines.
Typical impact · 60% faster audit prep · near-zero deadline missesCustomer support deflection
Multi-channel agent fields L1 and L2 tickets, escalates with full context, learns from agent corrections. Slots into Zendesk, Intercom, Freshdesk, or custom helpdesk.
Typical impact · 35-55% ticket deflection · 24/7 coverageDocument & contract analysis
Bulk contract review: clause extraction, deviation flagging, obligation tracking, renewal alerts. Designed for legal, procurement, and operations teams handling hundreds of agreements.
Typical impact · 80%+ time saved on review · full audit trailOperational intelligence
Real-time agentic dashboards. SQL-aware agents that answer business questions in natural language, generate reports, flag anomalies, summarise weekly performance for execs.
Typical impact · Decision cycle compressed from days to minutes
Our position
Build will beat buy in 2026.The companies that build now operate at a structural cost advantage by 2027.
The SaaS-deal-inflation argument is finished. Agentic systems make it cheaper to build than to license — provided you build with people who’ve done it before. We have.
Why us
Practitioners, not platform resellers.Engineering · product · operations.
Most consultants in this space recommend platforms (Microsoft Copilot, Salesforce Einstein, off-the-shelf vendor stacks) because that’s where their margins live. We build — in Python, Node, with multi-model orchestration, on your cloud, integrated with your existing stack.
Two decades across SaaS, broadcast production, AI infrastructure and enterprise systems. We’ve shipped products under our own name (CineSmith, AI production platform), scaled a multi-million-pound services agency, and led engineering teams through a successful SaaS exit.
PythonNodeOpenAIAnthropicGooglexAIMeta LlamaMistralDeepSeekLangGraphRAGFine-tuningMLOps
When the brief is right, we ship in weeks not quarters. When it isn’t, we’ll tell you on the discovery call — before you commit a budget.
Book a scoping call →
The honest answers
Before you brief us.
- What size of business is this for?
- Mid-market and enterprise: teams typically 50–5,000+ with the budget and the appetite to ship production systems rather than pilots. If your need is smaller, we’ll point you at the right platform instead — honestly, on the discovery call.
- Will you train models on our data?
- No. Your data, prompts, documents, customer records, and outputs are never used to train models — ours or anyone else’s. Single-tenant by default. Full IP and training-data terms in the engagement agreement.
- What stack do you build on?
- Whatever the workflow needs. We work across the full frontier of closed-source providers (OpenAI, Anthropic, Google, xAI) and open-source families (Meta Llama, Mistral, DeepSeek, Qwen, Phi). Multi-cloud (AWS, Azure, GCP, on-prem if required). Agent frameworks, retrieval (RAG), fine-tuning, evaluation harnesses. We pick the tools after we understand the work, not before. No vendor lock-in: the code is yours at handover.
- How does this compare to using Microsoft Copilot or Salesforce Einstein?
- Platforms are great when your workflow fits inside their assumptions. When it doesn’t — or when the per-seat licensing math doesn’t work at your scale — we build the agent layer that does what platforms can’t. Often we do both: platform for the 80%, custom build for the 20% that drives 80% of the value.
- How fast can we see ROI?
- Working prototype in 2–8 weeks. Production system shipped in 8–16 weeks. Measurable ROI on a defined business metric within 90 days of production deployment. If we can’t see a credible path to that on the discovery call, we’ll tell you.
- What about compliance — GDPR, EU AI Act, sector regulations?
- UK data residency available. GDPR-ready by default. Audit logs, SSO, role-based access. We’ve shipped into regulated environments (finance, broadcast, healthcare-adjacent). For sector-specific compliance (FCA, MHRA, ICO), we bring in legal counsel at scoping — not as an afterthought.
- Can you white-label or build under our brand?
- Yes. We’ve shipped agentic products under our own name (CineSmith); we can ship one under yours. Engineering and IP arrangements documented in the engagement agreement.
- What happens after launch?
- Hand-off package: documentation, training, runbooks. Your team owns the system. Optional retainer for ongoing improvement, model upgrades, new workflows, on-call support. Most clients keep us on retainer for 6–12 months post-launch — not because they have to, because the upgrade cadence keeps paying.
§ 11 / 12 · Get in touch
Start the conversation
Have a workflow worth turninginto a production system?
Two lines describing the problem and we’ll be back within one working day, with a useful answer — whether or not the project is right for us.
CineArt AI Limited · Registered in England & Wales
Mon–Fri · 09:00 – 18:00 GMT
Brief us
The next move
Ship in 2026.Or rebuild it in 2028.
CineArt AI · London · cineartai.com · [email protected]
