If $S_n = \sum_{i=1}^n 1/i$, we have $L(n) < S_n < U(n)$ where
$$ \eqalign{L(n) &= \ln(n) + \gamma + \frac{1}{2n} - \frac{1}{12 n^2}\cr
U(n) &= \ln(n) + \gamma + \frac{1}{2n}\cr} $$
Now $U(x) = c$ for $$x = -\dfrac{1}{2 W(-\exp(\gamma-c)/2)}$$
where $W$ is the Lambert W function. If $n = \lfloor x \rfloor$, you
have $U(n) \le c \le U(n+1)$. The difference between $L(n+1)$ and $U(n+1)$ is only $1/(12 (n+1)^2)$, while the difference between $U(n)$ and $U(n+1)$ is approximately
$1/(n+1)$ which is much larger if $n$ is large. So for "most" $c$, you'll
also have $c \le L(n+1)$, and therefore $S_{n} < c < S_{n+1}$. But if you're unlucky enough that $c > L(n+1)$, all you have is $L(n+1) < c < U(n+1)$.
You might then try a better approximation.
For example, with $c = 10$, I get
$x \approx 12366.46810$ so $n = 12366$, and $L(12367) \approx 10.00004301 > c$,
so $S_{12366} < 10 < S_{12367}$.