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Solutions

Start with the problem you need solved

Find the situation closest to yours. Each one explains the problem as it usually shows up, the steps we take to resolve it, and the services that are typically involved.

Launching a new digital business

Launch a Digital Business on a Foundation That Scales

You have a validated idea and a launch date, but the technical decisions still ahead - platform, payments, hosting, and how customers will find you - carry long-term consequences. Choosing badly at the start is expensive to undo, and a slow or unclear first experience costs you the visitors you worked hardest to attract.

How we approach it

  1. 1

    Define the smallest complete version of the product that delivers real value to your first customers.

  2. 2

    Select a platform and technology stack based on your business model and expected growth rather than novelty.

  3. 3

    Build the public site, the customer journey, and the internal tools your team needs to operate day to day.

  4. 4

    Set up payments, accounts, email, analytics, and hosting as one connected system rather than separate pieces.

  5. 5

    Launch with monitoring in place, then improve based on how real customers actually behave.

What changes

  • A credible first impression that supports conversion from launch day.
  • A technical foundation that can absorb growth without a rebuild.
  • Clear ownership of accounts, code, and documentation from the outset.
  • Faster learning from real customer behaviour after release.
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Selling products online

Sell Online Through a Store Built Around Your Operations

Selling online involves far more than a product page: stock accuracy, payments, tax, delivery, and returns all have to work together. When they don't, customers abandon baskets, staff reconcile orders by hand, and your team spends its time repairing process problems instead of selling.

How we approach it

  1. 1

    Map your catalogue, pricing, variants, and fulfilment rules before choosing a platform.

  2. 2

    Build a storefront that presents products clearly and shortens the path from discovery to checkout.

  3. 3

    Integrate payments, shipping, tax, and inventory so orders stop being re-entered by hand.

  4. 4

    Add customer accounts, order tracking, and self-service tools for the requests that repeat most.

  5. 5

    Measure where customers hesitate and improve the buying journey in iterations.

What changes

  • Fewer abandoned purchases through a clearer, faster buying journey.
  • Order and stock records that stay consistent across every sales channel.
  • Less manual administration for each order as volume increases.
  • A store your own team can update without waiting on a developer.
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Automating customer support

Automate Customer Support Without Losing the Human Touch

Repetitive questions consume the hours your support team should spend on complex cases, and response times stretch whenever volume spikes. Customers notice the delay, while the same answers are typed again and again by people who could be solving harder problems.

How we approach it

  1. 1

    Analyse real conversation history to find the questions that repeat most and consume the most time.

  2. 2

    Build an assistant grounded in your own documentation, policies, and product detail, with clear limits on what it will answer.

  3. 3

    Route anything uncertain, sensitive, or high value to a person, with the context already attached.

  4. 4

    Connect the assistant to your helpdesk, CRM, and order systems so it can act rather than only reply.

  5. 5

    Review transcripts regularly and refine answers, escalation rules, and coverage.

What changes

  • Faster first responses, including outside normal working hours.
  • Support staff focused on the cases that genuinely need judgement.
  • Consistent answers that follow your documented policy.
  • Clear visibility into what customers ask most, feeding product and content decisions.
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Managing customer relationships

Manage Customer Relationships in One System Your Team Uses

Customer information spread across inboxes, spreadsheets, and personal notes makes it hard to know who has been contacted, what was promised, and what should happen next. Opportunities stall quietly, and every handover between colleagues loses context that took months to build.

How we approach it

  1. 1

    Document how you actually win and keep customers, including the exceptions people work around today.

  2. 2

    Consolidate contacts, companies, deals, and interaction history into a single structured system.

  3. 3

    Automate follow-ups, reminders, and stage changes so nothing depends on memory.

  4. 4

    Connect the CRM to the email, invoicing, support, and marketing tools you already use.

  5. 5

    Report on pipeline and account activity in a form managers can act on each week.

What changes

  • A complete relationship history available to whoever picks up the account.
  • Fewer missed follow-ups and stalled opportunities.
  • Forecasting based on recorded activity rather than recollection.
  • Less time on administration and more time in front of customers.
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Connecting disconnected systems

Connect Disconnected Systems Into One Reliable Flow

When systems don't share data, staff re-enter the same information into several tools and reconcile the differences later. Errors creep in, reports disagree between departments, and nobody fully trusts the numbers they are making decisions with.

How we approach it

  1. 1

    Map the systems involved, the data each one owns, and the direction that data needs to move.

  2. 2

    Define a single source of truth for each record type to prevent conflicting updates.

  3. 3

    Build integrations through documented APIs, or through a middleware layer where direct connections aren't practical.

  4. 4

    Add validation, retries, and alerting so failures surface immediately instead of silently.

  5. 5

    Monitor the flow and adjust mappings as your processes change.

What changes

  • An end to duplicate data entry between systems.
  • Reports that agree across departments.
  • Failures detected and resolved before they reach customers or finance.
  • Existing investment in the tools you already run preserved rather than replaced.
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Streamlining daily operations

Streamline Daily Operations With Software That Fits the Work

Day-to-day work often runs on a mix of spreadsheets, paper, and improvised workarounds that only the current team understands. As volume grows those workarounds become the bottleneck: approvals wait, handovers fail, and nobody can see the status of a job without asking someone.

How we approach it

  1. 1

    Walk through the current workflow end to end and identify where time is lost or information breaks down.

  2. 2

    Design a system around your real process, approvals, exceptions, and handoffs included.

  3. 3

    Automate scheduling, notifications, document generation, and status updates.

  4. 4

    Provide dashboards that show workload and progress while there is still time to react.

  5. 5

    Roll out in stages, training staff as each part goes live.

What changes

  • Less manual administration across routine tasks.
  • Work in progress visible without chasing colleagues for updates.
  • Processes that survive staff changes because they are defined in the system.
  • Capacity to handle higher volume without a matching rise in admin effort.
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Improving application security

Improve Application Security Before It Becomes a Business Problem

Applications accumulate risk as they grow: dependencies age, access rules drift, and features ship faster than they are reviewed. A single unaddressed weakness can expose customer data, interrupt operations, and damage trust that took years to earn.

How we approach it

  1. 1

    Assess your applications and infrastructure against recognised weakness classes.

  2. 2

    Prioritise findings by real exposure and business impact rather than by score alone.

  3. 3

    Fix authentication, authorisation, and data handling issues in the code itself.

  4. 4

    Add automated dependency and static analysis checks into your delivery pipeline.

  5. 5

    Document findings and remediation so the work supports customer and audit conversations.

What changes

  • A reduced attack surface across the systems your business depends on.
  • Weaknesses found and addressed before they can be exploited.
  • Evidence and documentation that supports compliance discussions.
  • Security practices that strengthen delivery instead of blocking it.
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Modernizing outdated software

Modernize Outdated Software Without Disrupting the Business

Legacy systems keep the business running, but they slow every change, depend on technology fewer people maintain, and often sit outside current security and hosting standards. Replacing them outright feels too risky, so the problem is deferred for another year.

How we approach it

  1. 1

    Audit the existing system: what it does, what depends on it, and where the real risk sits.

  2. 2

    Agree what must be preserved exactly and what can be improved in the process.

  3. 3

    Plan a staged migration that keeps the business running at every step.

  4. 4

    Rebuild or refactor the highest-value parts first, with data migration and rollback paths prepared.

  5. 5

    Decommission the old system only once the replacement has been verified in production.

What changes

  • Faster, safer changes to the systems your business relies on.
  • Reduced dependence on scarce legacy skills and unsupported components.
  • Better performance, security, and hosting options.
  • Continuity of service throughout the transition.
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Scaling digital infrastructure

Scale Digital Infrastructure to Match Real Demand

Traffic spikes, new locations, or a growing customer base expose infrastructure that was sized for earlier days. Pages slow down under load, releases become risky events, and running costs climb without a clear explanation of what is driving them.

How we approach it

  1. 1

    Review the current architecture, bottlenecks, and failure points against the demand you expect.

  2. 2

    Introduce caching, content delivery, and horizontal scaling where they will have the most effect.

  3. 3

    Automate deployment and infrastructure configuration so environments stay consistent.

  4. 4

    Add monitoring, alerting, and backup and recovery procedures that are actually tested.

  5. 5

    Right-size resources continuously as real usage patterns become clearer.

What changes

  • Stable performance during peak demand.
  • Faster, lower-risk releases through automated pipelines.
  • Clearer visibility into what drives infrastructure cost.
  • Recovery procedures that have been tested rather than only documented.
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Don't see your situation here?

These are the problems we are asked about most often, not the limit of what we do. Describe yours and we will tell you honestly whether we are the right team for it.

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