Results, not promises.

£1.2M annual cost optimisation. Zero service interruption.

A digital-assets platform had a universal and native API for each of its EVM and UTXO chains, plus a sprawling Kafka topic estate behind them. We audited real customer usage, cut what wasn't used across the APIs and Kafka, and rebuilt around a UTXO API and an EVM API, each extensible by config, delivering £1.2M in annual infrastructure cost optimisation with zero service interruption.

Idea to live service, with ongoing service delivery support.

A digital-assets client wanted to offer Ethereum staking to their customers, with nothing built yet. We took it from discovery through validator node infrastructure, data infrastructure, a staking API, a staking reporting API, and into a live service we stayed on to support.

A repeatable onboarding path, testnet through to mainnet.

A digital-assets platform onboarded every new EVM chain as a bespoke project. We built a repeatable path: full-history and archive node infrastructure, data infrastructure and generated APIs, transaction signing and broadcasting proven on testnet, integration into existing staking and wallet products, and the legal, security and go-to-market work alongside it.

Dynamic gas estimation and full lifecycle tracking, fewer stuck and dropped transactions.

A digital-assets platform was losing transactions to static gas prices and had no visibility once a transaction was broadcast. We built a lifecycle engine covering transaction construction and broadcast, dynamic EIP-1559-aware gas fee estimation, and real-time status tracking through to confirmation, for native ETH and ERC-20 token transactions, reused across every EVM chain on the platform.

New client onboarding cut from days to minutes, existing customers migrated with zero downtime.

A blockchain infrastructure provider sold everything manually, with no self-service path and no coherent pricing model. We took it from discovery and pricing strategy through UX/UI research, wireframing and design, a pricing catalogue, blockchain infrastructure architecture and solution design, project-managed engineering delivery, customer migration, and legal, security and go-to-market sign-off and campaigns, cutting new client onboarding from days down to minutes.

Weeks to days on strategy-to-backlog work, governed end to end.

A SaaS company's product managers were buried in manual work: chasing stakeholders for visibility, updating roadmaps by hand, and translating strategy into Jira tickets one at a time. We gave them automated stakeholder visibility, MCP-server-driven Jira automation that triggers initiatives aligned to company strategy, and turns them into fully fleshed user stories with acceptance criteria, a definition of done, a definition of ready, and functional and non-functional requirements drawn from the PRD, backed by the AI usage policies, security guardrails, governance and mindset coaching to make it safe to rely on.

Say/Do rate moved off a 55% baseline, onto a clear path toward SAFe's 80%+ delivery standard.

A banking programme running the Scaled Agile Framework was consistently missing its sprint commitments, at a 55% Say/Do rate against SAFe's 80%+ benchmark. We coached the teams through cycle time, throughput and dependency data, embedded Definition of Ready and Definition of Done into refinement, and helped them commit to what they could actually deliver, briefing senior stakeholders on the resulting timeline impact with options logged in the RAID log.