Case -> system -> decision
Fewer unanswered customer requests. Less searching through documents. Less manual task retyping.
delivery
3-6 weeks
start
Short call
proof
3 systems
Case -> system -> decision
We start with three places: webchat inquiries, company knowledge and the first manual step worth automating.
01
Lead Response Management research shows that after 30 minutes the chance of qualifying a lead drops 21x compared with 5 minutes. Webchat captures the topic before a manual offer.
metric
Time to first response, number of topics captured before the offer
02
A knowledge base answers with a source link and shows the current material.
metric
Time to find an answer, number of team questions per day
03
A short diagnosis selects one step, its cost and the first test to launch.
metric
Hours of work saved per month
Solutions
audit
First we check where manual work really consumes time or blocks sales.
One selected step, cost, risk and a decision: build it, postpone it or simplify it.
knowledge
The team asks about a price, procedure or offer. The answer returns with a link to the material.
Price lists, procedures and offers in one place; the answer returns with a source link.
webchat
A website visitor describes the case, and a person receives context for the first reply.
Webchat collects questions, saves the findings and hands difficult cases to a person.
Proof
This page does not pretend to be an agency portfolio. It shows working systems and products close to what the buyer is purchasing.
online
Proof: first-contact webchat
sterujhotelem.pl
Webchat and first case triage
01
question
customer describes the case
02
webchat
collects context and intent
03
task
human receives ordered context
A customer describes the case in webchat, and a person receives ordered context for a decision.
A webchat inquiry becomes ordered context for a human task.
Cross-link to the working flow on SterujHotelem.
See the case pathonline
Proof: public Q&A base
botradzi.pl
Public Q&A product
01
question
user asks in normal language
02
source
system searches the knowledge base
03
answer
result returns with a reference
A user asks in normal language. The answer returns with a link to the source.
The source link shows what the answer is based on.
Public live demo.
Open live demoproduct
Proof: IoT product for hotels
sterujhotelem.pl
Heating control and room signals
01
room
sensor or head reports state
02
system
collects room signals
03
hotel
team sees where to react
Sensors, heads and a room panel show that I can deliver a process from devices to an operational decision.
The hotel sees room signals and can reduce heating losses.
Public product website.
Open productHow cooperation works
I do not sell months of team work. I take one process, build a working flow and show whether the result is worth scaling.
buyer question
04 / Delivery
Why does this not have to take four months?
proof
04 / Delivery
80-150k / 4 months versus 15-40k / 3-6 weeks
business outcome
04 / Delivery
The delivery model becomes an advantage, not a risk.
software house
80-150k / 4 months
Large team, long analysis and a lot of coordination before a working result appears.
Damian / DSGroup
15-40k / 3-6 weeks
Damian leads the implementation personally, uses proven patterns and shortens the path from problem to result.
01
First we identify one place where automation has measurable business sense.
02
Instead of long discussions, a small system appears and can be tested on real cases.
03
After launch, we check time saved, handled cases and the decision: expand or stop.
Pricing
Measurable hours saved or customer requests handled - not billable developer hours.
decision filter
Problem
Does the process create cost, delays or lost inquiries?
Budget
Does the scope fit an audit-to-implementation decision from 15-40k PLN?
Scope
Are we starting from one process, not rebuilding the whole company?
package 01
One selected step, cost, risk and a decision: build it, postpone it or simplify it.
package 02
Price lists, procedures and offers in one place; the answer returns with a source link.
package 03
Webchat collects questions, saves findings and hands difficult cases to a person.
Next step
First diagnosis, then a decision on whether automation makes sense.
30-minute diagnosis
We will check the process, budget and implementation risk.
One process
We do not start by rebuilding the company. We pick one measurable point.
Budget and risk
On the call we check cost, constraints and implementation sense before the decision.
Decision after the call
After diagnosis you know whether automation makes sense now, later or not at all.
With a 30-minute diagnostic call where we choose one process, cost, risk and a decision: build it, postpone it or simplify it.
A typical DSGroup scope takes 3-6 weeks from audit to a working process, if data sources and company-side decisions are available.
DSGroup is one accountable operator supported by AI agents, so we start with a measurable step instead of a multi-month project without a clear result.