Most organisations have automated something. Far fewer have automated the right things, on the right kind of platform, in a way that scales, stays governed and costs what it should. C4C is an independent automation practice. We help you decide what is worth automating, design the process first, choose the platform that genuinely fits it, negotiate the licensing, and work alongside the platform vendor and delivery teams to deliver it, including where AI agents now fit.
The problem
Automation platforms are good, and getting better. Programmes rarely stall because of the technology. They stall on design, fit, governance and commercials.
Take today’s workflow, workarounds and all, make it run faster, and you get faster errors and a process that is harder to change. The design work comes first.
The first automation works. The tenth stalls, because exceptions, integration and ownership were never planned for. Most programmes do not fail at the start. They fail at scale.
Screen level bots doing work that needed an integration. A low code app where a governed case process was needed. Each tool is good at something, and costly when stretched past it.
An agent inside a well governed process, with approvals, audit and fallbacks, is useful. An agent with no process around it is a risk to data, compliance and cost.
Per user, per process, per bot, per environment and consumption models all behave differently at scale. The commercial shape you sign up to decides the cost of success.
What C4C does
An independent practice, not a platform vendor. We have no automation platform of our own, so the recommendation is the one that fits your process, and we work alongside whichever vendor and delivery teams are right for it.
The people doing this spent their careers on the vendor side of enterprise technology. That means we know how platforms are sold, how their licences are built, which claims hold up in production, and which questions to ask before you commit.
Practice areas
Map the process as it really runs, find where the time, errors and risk actually sit, cut the steps that exist only because of old systems, and decide where a person must stay in the loop. Then automate.
Process orchestration and case management, low code, robotic process automation, integration, document processing and AI agents. We match the platform to the process and the organisation, not the other way round.
We have spent decades on the vendor side of enterprise technology, so we know how platform licences are built and where there is room to move. We shape the deal so success does not become the most expensive outcome.
Where agents add value, such as triage, unstructured documents and drafting, and how to orchestrate them with people, systems and rules, with human checkpoints, audit trails and spend controls.
Automation lives or dies on the systems and data it connects to. We design the integration layer so automations are built on APIs and events rather than fragile screen scraping wherever possible.
An automation centre of excellence that enables rather than blocks: standards, reuse, citizen development guard rails, a pipeline of the right processes, and value measured honestly.
Ways to start
A short, structured conversation about where you are: the processes you are considering, the platforms you have, and what is stopping progress. You leave with a clear view of what is worth doing first.
Talk to us →For one or more priority processes: how they really run, what kind of automation fits each, which platforms in the market genuinely suit them, and a proof of value plan to test the shortlist.
Talk to us →For a platform you own or are about to buy: whether the licence model fits how you will grow, what you are paying for and not using, and what is negotiable before you sign or renew.
Talk to us →Platform neutral, by design
There is no single best automation platform. There is the best fit for a given process, organisation and budget. A high volume claims process with complex exceptions and a regulator watching needs strong case management and audit. A finance team moving data between two legacy systems may need integration, or a bot until the integration exists. A business unit building its own workflows needs low code with guard rails. A triage step drowning in emails may be the right place for an AI agent, inside a governed process.
So we start from the process, shortlist the platforms in the market that genuinely suit it, and test them on a real case in a proof of value rather than a demonstration. Then we shape the licence around how you will grow, so the cost of success is known before you sign. Our guide on how to choose an automation platform sets out the criteria in full.
Guides
Related: Enterprise AI, AI governance and AI gateways explained.
Planning automation?
No platform of our own to sell. Prefer email? Write to us at hello@c4cgroup.co.uk.
Questions
Business process automation is using software to run the steps of a business process, such as onboarding, claims, approvals or case handling, with less manual effort and fewer errors. It ranges from screen level bots that copy work between systems, through low code applications and integration, to process orchestration platforms that coordinate people, systems, rules and increasingly AI agents across a whole end to end process.
Robotic process automation mimics a person working through screens and suits stable, repetitive tasks across systems without good interfaces. Low code platforms let teams build applications and workflows quickly. Process orchestration and case management platforms coordinate whole processes across people, systems and rules, with audit and exception handling built in. Most organisations need more than one, used where each fits.
No. C4C has no automation platform of its own, so our advice is not bent towards a product we need to sell. We recommend the platform that fits the process and the organisation, and work alongside the platform vendor and delivery teams to deliver it. Where we do supply a product, we say so up front.
Agents are good at unstructured work such as reading documents, triaging requests and drafting responses. They work best inside a governed process that decides when they act, what they can access, when a person approves, and what happens when they are unsure. Deterministic process automation stays in charge of the rules, the audit trail and the hand offs.
With the process, not the platform. Pick processes with real volume, clear rules, measurable pain and manageable exceptions, map how they actually run, and fix what should not be there before automating. Then choose the kind of automation that fits, prove it on a real case, and plan for scale from the start.
Yes. Platform licensing varies widely, from per user and per application to per bot, capacity and consumption models, and the model you choose decides what success costs. We review the commercial shape before you sign or renew, find what you are paying for and not using, and negotiate from years of experience on the vendor side of enterprise technology.