Solutions
Start from the problem, not the product
We don’t lead with a catalog. Browse by the result you need, or by the kind of organization you are. Either way, what follows is how we’d think about it before deciding on a fix.
Find your starting point
Which of these sound familiar?
2. Where we’d start
Nothing selected yet. Tick a few symptoms and the sections most worth your time will show up here. Nothing gets emailed or saved.
Give employees time back
What it usually looks like
- The same data gets typed into more than one system
- People spend real time coordinating work instead of doing it
- A weekly task takes hours because it's still assembled by hand
Questions we’d ask
- Who does this task, and how often?
- What would they do with the recovered time?
- Is the slow part the work itself, or the handoffs around it?
Possible approaches
- Better use of a tool you already own
- A small integration between two existing systems
- A purpose-built internal tool
- A process change with no new software at all
What we’d measure
- Hours per week
- Error rate
- Turnaround time
- Employee-reported friction
Example situations
Composites, not real clients.
- A dispatcher re-keys the same job details into three systems every day
- A finance team rebuilds the same report from scratch each week
Serve customers faster
What it usually looks like
- Customers wait longer than they should for a simple answer
- The same question gets asked and answered over and over
- Response time depends on which employee happens to be free
Questions we’d ask
- What does the customer need in that moment?
- How much of the answer is unique, versus repeated?
- What happens if no one is available to respond?
Possible approaches
- A well-organized self-service resource
- A scheduling or intake system that removes back-and-forth
- A support assistant for common, well-defined questions
- A better-routed handoff to the right person
What we’d measure
- Response time
- Resolution time
- Repeat-contact rate
- Customer-reported satisfaction
Example situations
Composites, not real clients.
- A service business loses leads because follow-up is inconsistent
- A retail location fields the same five questions all day, every day
Reduce operational mistakes
What it usually looks like
- Small errors keep slipping through in the same step
- Approvals happen inconsistently or get skipped under pressure
- Mistakes are caught late, after they're expensive to fix
Questions we’d ask
- Where exactly does the error get introduced?
- Is this a training issue, a process issue, or a tooling issue?
- What would catching it earlier save?
Possible approaches
- A structured approval workflow
- A validation step built into the existing tool
- A checklist or guided process, digitized
- A dashboard that surfaces anomalies before they compound
What we’d measure
- Error rate
- Rework hours
- Cost of the average mistake
- Time-to-detection
Example situations
Composites, not real clients.
- A growing company has outgrown spreadsheets but doesn't need a massive platform
- An approval step gets skipped whenever the usual approver is out
Make information easier to find
What it usually looks like
- Employees repeatedly search across documents and chat for the same answer
- Knowledge lives in one person's head, not in a system
- Onboarding a new hire takes far longer than it should
Questions we’d ask
- Where does this information currently live?
- Who is the one person people go to when they're stuck?
- Is the problem finding it, or trusting what you find?
Possible approaches
- A searchable knowledge base
- An internal assistant trained on your real documentation
- Better structure inside a tool you already use
- A documented standard operating procedure
What we’d measure
- Time to find an answer
- Onboarding time
- Repeat questions to the same person
Example situations
Composites, not real clients.
- Employees repeatedly search for information across documents and chat
- A subject-matter expert becomes a bottleneck for routine questions
Improve lead follow-up
What it usually looks like
- Leads go quiet because follow-up depends on someone remembering
- There's no clear view of what stage each opportunity is in
- Good leads get treated the same as low-intent ones
Questions we’d ask
- What happens in the first hour after a lead comes in?
- Where does a lead currently fall through the cracks?
- What does 'qualified' mean for this business?
Possible approaches
- A lead-qualification and routing system
- Automated, well-timed follow-up sequences
- A simple CRM, set up correctly, before anything custom
- A dashboard that shows exactly where every lead stands
What we’d measure
- Response time to new leads
- Follow-up completion rate
- Lead-to-close rate
Example situations
Composites, not real clients.
- A service business loses leads because follow-up is inconsistent
- Inbound inquiries sit in a shared inbox with no clear owner
Connect disconnected tools
What it usually looks like
- The same information is manually copied between systems
- No single view shows what's happening across the business
- New tools kept getting added without anything talking to each other
Questions we’d ask
- What decision is being delayed because the data is scattered?
- Which systems are worth keeping, and which are worth retiring?
- What's the real cost of the manual bridge people build today?
Possible approaches
- A direct integration between two systems
- A unified operational dashboard
- An event-driven workflow that removes the manual step entirely
- Consolidating onto fewer, better-used tools
What we’d measure
- Manual data-entry hours
- Data discrepancies
- Time to a unified view
Example situations
Composites, not real clients.
- A local business manually re-enters customer information into multiple systems
- Sales, fulfillment, and accounting each have their own version of the truth
Modernize a customer experience
What it usually looks like
- The website no longer reflects the quality of the business behind it
- Customers can't do simple things (book, pay, ask) without calling
- The brand feels dated next to newer competitors
Questions we’d ask
- What should a customer be able to do without picking up the phone?
- What's the gap between how the business runs and how it presents?
- What's the smallest redesign that fixes the real problem?
Possible approaches
- A modern, fast, accessible website
- A customer or member portal
- Online scheduling, payment, or account access
- A focused redesign rather than a full rebuild
What we’d measure
- Conversion rate
- Call-volume for simple requests
- Customer-reported experience
Example situations
Composites, not real clients.
- A customer-facing website no longer reflects the quality of the business
- Customers still call to book something that could be two clicks online
Build a custom business system
What it usually looks like
- Off-the-shelf software almost fits, but forces awkward workarounds
- The business has an unusual process that generic tools don't model well
- Growth is blocked by a tool that can't scale with the team
Questions we’d ask
- What's truly unique about this workflow, versus just unfamiliar to us?
- What happens if we don't build anything at all?
- Who maintains this once it exists?
Possible approaches
- A purpose-built internal or customer-facing application
- A phased build, starting with the highest-value piece
- An honest recommendation to buy instead, when that's cheaper long-term
What we’d measure
- Time saved versus the workaround
- Total cost of ownership
- Team capacity unlocked
Example situations
Composites, not real clients.
- A team spends hours preparing the same weekly report by hand
- A business runs a critical process through a spreadsheet held together by habit
Explore where AI fits responsibly
What it usually looks like
- Leadership feels pressure to "do something with AI" without a clear target
- A well-defined, repetitive task might benefit from AI assistance
- There's uncertainty about where AI helps and where it introduces risk
Questions we’d ask
- Is this a task with clear inputs, outputs, and a way to check correctness?
- What's the cost of an AI system being wrong here?
- Would a simpler, deterministic tool solve this just as well?
Possible approaches
- A narrow, well-scoped AI assistant for a specific task
- A human-in-the-loop workflow rather than full automation
- A clear "not yet," with the conditions under which it would make sense later
What we’d measure
- Task accuracy
- Human review time
- Outcomes versus the prior process
Example situations
Composites, not real clients.
- A team wants a chatbot before anyone has defined what it should answer
- A document-heavy process could plausibly use AI assistance, but hasn't been mapped yet
Individual
For independent professionals and people with a recurring problem worth solving.
What this can look like
Scenarios we recognise, not case studies.
- A consultant who rebuilds the same proposal from scratch every time
- A freelancer juggling scheduling, invoicing, and client follow-up across five apps
- Someone who needs a research or writing assistant built around their actual workflow
Local business
For owners who need practical improvements without building an internal technology team.
What this can look like
Scenarios we recognise, not case studies.
- A convenience store or gas station managing inventory, staffing, and point-of-sale across locations
- An auto shop or franchise location fielding the same scheduling calls all day
- A family-owned business whose website and back office haven't kept pace with the business itself
Growing organization
For companies where manual work is becoming difficult to scale.
What this can look like
Scenarios we recognise, not case studies.
- A team that's outgrown its spreadsheets but doesn't need an enterprise platform
- Operations that depend on one or two people who know how everything really works
- Customer support or fulfillment volume that's starting to outpace the current process
Enterprise team
For organizations that need secure, maintainable systems that work with existing teams and infrastructure.
What this can look like
Scenarios we recognise, not case studies.
- A department that needs a focused tool built and handed off cleanly to an internal IT team
- A technology leader evaluating where AI fits versus where it's noise
- A team that needs an outside diagnosis before committing budget to a platform decision
Not sure which one fits? That’s what the audit is for.
For larger organizations we scope a broader assessment that works alongside your existing technical and security requirements, and your existing IT team, not around them.