Start with the Problem
Common business problems, mapped to the right work.
Most teams do not need more tools. They need the slow, manual and risky parts of the work fixed. These are the problems we solve most often, and what good looks like once they are sorted.
Problems we solve most often
Find the problem that sounds like yours, then see the plain steps we take to fix it.
AI roadmap for business
Pressure to do something with AI, but no plan for where it pays back.
AI governance
Staff are using AI tools with no rules and no one owning the risk.
Copilot readiness assessment
You want Copilot, but are not sure it is safe to switch on yet.
Trusted data for AI
Your data is too scattered for AI to give answers you can trust.
Improve business reporting
Reports are built by hand and out of date before they land.
Staff onboarding
New starters wait days for accounts, access and paperwork.
Timesheet and overtime
Hours sit across rosters and payroll, so overtime is only seen once it is paid.
Automate approval workflows
Approvals sit in inboxes and email chains, so work stalls waiting on a sign off.
Reduce manual data entry
The same details get typed into several systems by hand, so errors creep in.
Risk capture in the field
Hazards get noted on paper or not at all, so risks are logged late.
Incident reporting
Incidents get written on paper and reported late, so detail is lost.
Contractor management
Certificates are tracked by hand, so expired ones slip through and reach site.
Supplier and delivery management
Orders and deliveries are tracked across email and spreadsheets, so things slip.
Field worker app
Staff lose signal on site, so field data is captured late or lost.
Fix SharePoint and Teams sprawl
Files are spread across too many sites and channels, so staff cannot find them.
CRM data quality and adoption
The CRM is full of stale records, so staff stop trusting it and stop using it.
What good looks like
Common questions about getting started
What does CG TECH mean by challenges?
These are the business problems we get asked to fix most often, grouped so you can start from the problem rather than the product. Most teams do not need more tools. They need the slow, manual and risky parts of the work sorted.
Where should we start if we have several problems?
With the one that costs the most time or money and follows clear rules. A short readiness assessment ranks your options so you start where the payback is clearest.
Do you fix problems, or sell platforms?
We fix problems. The platform is whatever suits the job. We are technology-agnostic and outcome-focused.
Do you work with businesses our size?
Yes. We work with small and mid-sized businesses and public sector teams of 50 to 500 staff.
How long does a first piece of work usually take?
It depends on the problem, but we scope the first piece so it lands in weeks rather than quarters. Anything that cannot show a result in that time is usually too big a first step.
What if our problem is not on this list?
Tell us anyway. These pages are the problems we see most, not the limit of what we do. If it is slow, manual or risky, it is worth a conversation.
Do we need to fix our data before anything else?
Not always. Some problems can be fixed straight away, others depend on the data being in order first. We tell you which one you are looking at before you commit to anything.
What does the first conversation involve?
A short call where you describe the problem and we ask questions. You leave with an honest read on whether it is worth fixing now, what it would take, and whether we are the right people for it.
Ready when you are
Have a different problem in mind?
Bring the business problem you want to solve. We will map the work and show you where AI and automation pay back first.
What to expect
- A consultant replies within 4 business hours
- Session booked to understand your requirements
- We will provide you with a fixed price quote